Triple
T11012452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kra languages |
E260274
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object |
Laha language
The Laha language is a lesser-known Kra language spoken by the Laha ethnic group in northern Vietnam.
|
E901987
|
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: Laha language | Statement: [Kra languages, hasSubgroup, Laha language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laha language Context triple: [Kra languages, hasSubgroup, Laha language]
-
A.
Laka language
Laka language is a lesser-known Adamawa–Ubangi language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
-
B.
Lakalai language
The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
-
C.
Lamaholot language
The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
-
D.
Logba language
The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
-
E.
Nomlaki language
The Nomlaki language is an endangered Native American language traditionally spoken by the Nomlaki people of northern California.
- 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: Laha language Triple: [Kra languages, hasSubgroup, Laha language]
Generated description
The Laha language is a lesser-known Kra language spoken by the Laha ethnic group in northern Vietnam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laha language Target entity description: The Laha language is a lesser-known Kra language spoken by the Laha ethnic group in northern Vietnam.
-
A.
Laka language
Laka language is a lesser-known Adamawa–Ubangi language spoken in parts of Central Africa, particularly in Chad and neighboring regions.
-
B.
Lakalai language
The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
-
C.
Lamaholot language
The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
-
D.
Logba language
The Logba language is a Niger-Congo language spoken by the Logba people of southeastern Ghana.
-
E.
Nomlaki language
The Nomlaki language is an endangered Native American language traditionally spoken by the Nomlaki people of northern California.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978a57a881909b4ceae0ebe21b78 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a97587708190bf31976a3fbc1015 |
completed | April 18, 2026, 3:55 p.m. |
| NEDg | Description generation | batch_69e3ad00b5c08190a7bf3ecbeae76d88 |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b1efe4a88190884eb5186954cf39 |
completed | April 18, 2026, 4:31 p.m. |
Created at: April 8, 2026, 9:25 p.m.