Triple
T7946053
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miao languages |
E184499
|
entity |
| Predicate | arealRelation |
P24620
|
FINISHED |
| Object |
Southeast Asia linguistic area
The Southeast Asia linguistic area is a region where languages from diverse families have converged to share common structural features such as tonal systems, analytic grammar, and similar word order due to long-term contact and diffusion.
|
E704487
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Southeast Asia linguistic area | Statement: [Miao languages, arealRelation, Southeast Asia linguistic area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southeast Asia linguistic area Context triple: [Miao languages, arealRelation, Southeast Asia linguistic area]
-
A.
Indo-Pacific linguistic area
The Indo-Pacific linguistic area is a proposed macro-area encompassing diverse, often non-Austronesian languages of the Indian and Pacific Ocean regions that are hypothesized to share deep historical connections and structural features.
-
B.
Philippine linguistic area
The Philippine linguistic area is a region encompassing the Philippines where diverse Austronesian languages share common structural features due to long-term contact and convergence.
-
C.
Sulawesi linguistic area
The Sulawesi linguistic area is a region of the Indonesian island of Sulawesi characterized by intense contact among diverse Austronesian and Papuan languages, leading to shared structural features across otherwise unrelated language groups.
-
D.
Mindanao linguistic area
The Mindanao linguistic area is a region in the southern Philippines characterized by a diverse cluster of languages that share common structural features due to long-term contact and interaction.
-
E.
Eastern Indonesian linguistic area
The Eastern Indonesian linguistic area is a region of eastern Indonesia where diverse Austronesian and Papuan languages share convergent structural features due to long-term contact.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Southeast Asia linguistic area Triple: [Miao languages, arealRelation, Southeast Asia linguistic area]
Generated description
The Southeast Asia linguistic area is a region where languages from diverse families have converged to share common structural features such as tonal systems, analytic grammar, and similar word order due to long-term contact and diffusion.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Southeast Asia linguistic area Target entity description: The Southeast Asia linguistic area is a region where languages from diverse families have converged to share common structural features such as tonal systems, analytic grammar, and similar word order due to long-term contact and diffusion.
-
A.
Indo-Pacific linguistic area
The Indo-Pacific linguistic area is a proposed macro-area encompassing diverse, often non-Austronesian languages of the Indian and Pacific Ocean regions that are hypothesized to share deep historical connections and structural features.
-
B.
Philippine linguistic area
The Philippine linguistic area is a region encompassing the Philippines where diverse Austronesian languages share common structural features due to long-term contact and convergence.
-
C.
Sulawesi linguistic area
The Sulawesi linguistic area is a region of the Indonesian island of Sulawesi characterized by intense contact among diverse Austronesian and Papuan languages, leading to shared structural features across otherwise unrelated language groups.
-
D.
Mindanao linguistic area
The Mindanao linguistic area is a region in the southern Philippines characterized by a diverse cluster of languages that share common structural features due to long-term contact and interaction.
-
E.
Eastern Indonesian linguistic area
The Eastern Indonesian linguistic area is a region of eastern Indonesia where diverse Austronesian and Papuan languages share convergent structural features due to long-term contact.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b29a570819091a2ac185a8d57c4 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe02faa308190aeba83cc6cb96153 |
completed | March 31, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69cbe4383d0c819085e7c95e7b0be16e |
completed | March 31, 2026, 3:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc34a83cec81908aba7afbaea53449 |
completed | March 31, 2026, 8:55 p.m. |
Created at: March 30, 2026, 5:09 p.m.