Triple
T9051654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palaungic |
E216897
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Lamet language
Lamet language is an Austroasiatic language spoken by the Lamet people of northern Laos.
|
E775501
|
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: Lamet language | Statement: [Palaungic, hasLanguage, Lamet language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lamet language Context triple: [Palaungic, hasLanguage, Lamet language]
-
A.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
B.
Lemolang language
Lemolang is an Austronesian language spoken by a small community in South Sulawesi, Indonesia.
-
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.
Lasgerdi language
The Lasgerdi language is an Iranian language spoken in parts of north-central Iran and classified within the Semnani branch of Northwestern Iranian languages.
-
E.
Patelia language
The Patelia language is a regional Indo-Aryan tribal language variety associated with the Bhil communities of western India.
- 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: Lamet language Triple: [Palaungic, hasLanguage, Lamet language]
Generated description
Lamet language is an Austroasiatic language spoken by the Lamet people of northern Laos.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lamet language Target entity description: Lamet language is an Austroasiatic language spoken by the Lamet people of northern Laos.
-
A.
Damara language
The Damara language is a Khoe (Central Khoisan) language spoken primarily by the Damara people of Namibia.
-
B.
Lemolang language
Lemolang is an Austronesian language spoken by a small community in South Sulawesi, Indonesia.
-
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.
Lasgerdi language
The Lasgerdi language is an Iranian language spoken in parts of north-central Iran and classified within the Semnani branch of Northwestern Iranian languages.
-
E.
Patelia language
The Patelia language is a regional Indo-Aryan tribal language variety associated with the Bhil communities of western India.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc7a700de48190aa9f61d850e01cbd |
completed | April 1, 2026, 1:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfebc90bf88190bbcdab07ca93f569 |
completed | April 3, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69cfecf7fce08190a9b80044a2ae9745 |
completed | April 3, 2026, 4:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cff0ea8c388190bd95233db9c69038 |
completed | April 3, 2026, 4:55 p.m. |
Created at: March 30, 2026, 7:10 p.m.