Triple
T6981830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shompen people |
E161864
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Shompen language |
E105735
|
NE FINISHED |
How this triple was built (2 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: Shompen language | Statement: [Shompen people, language, Shompen language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shompen language Context triple: [Shompen people, language, Shompen language]
-
A.
Shompen language
chosen
Shompen language is an endangered and poorly documented Austroasiatic language spoken by the indigenous Shompen people of Great Nicobar Island in India.
-
B.
Rumsen language
Rumsen language is an extinct Ohlone (Costanoan) Native American language formerly spoken in the Monterey Bay area of California.
-
C.
Amuesha language
The Amuesha language, also known as Yanesha', is an Arawakan language spoken by the Yanesha' people of the central Peruvian Amazon.
-
D.
Chumburung language
The Chumburung language is a Niger-Congo language spoken primarily by the Chumburung people in Ghana.
-
E.
Pokomo language
The Pokomo language is a Bantu language spoken primarily by the Pokomo people along Kenya’s Tana River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db6d3f3c8190b0121f7934440c34 |
completed | March 27, 2026, 7:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c761c0ecd88190a684392aa6daf267 |
completed | March 28, 2026, 5:06 a.m. |
Created at: March 27, 2026, 2:31 p.m.