Triple
T12151124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Myene people |
E289454
|
entity |
| Predicate | usesLanguage |
P238
|
FINISHED |
| Object | Myene language |
E908747
|
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: Myene language | Statement: [Myene people, usesLanguage, Myene language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Myene language Context triple: [Myene people, usesLanguage, Myene language]
-
A.
Myene language
chosen
The Myene language is a Bantu language spoken primarily along the coast of Gabon by the Myene people.
-
B.
Minyag language
The Minyag language is a lesser-known Qiangic language spoken by the Minyag people in parts of western Sichuan, China.
-
C.
Muinane language
The Muinane language is an indigenous Witotoan language spoken by the Muinane people of the Colombian Amazon.
-
D.
Semai language
The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
-
E.
Mehináku language
The Mehináku language is an indigenous Arawakan language spoken by the Mehinaku people of Brazil’s Upper Xingu region in the Amazon.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915ae736c8190aaab05efb93c5854 |
completed | April 10, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a80aa6881908111cc47b5fe8b9e |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:49 p.m.