Triple
T19817792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yeniseian languages |
E476104
|
entity |
| Predicate | extinctLanguages |
P11825
|
FINISHED |
| Object | Assan language |
—
|
NE NERFINISHED |
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: Assan language | Statement: [Yeniseian languages, extinctLanguages, Assan language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Assan language Context triple: [Yeniseian languages, extinctLanguages, Assan language]
-
A.
Assan language
chosen
The Assan language is an extinct and poorly documented member of the Yeniseian language family once spoken in central Siberia.
-
B.
Asmat language
The Asmat language is a Papuan language spoken by the Asmat people of southwestern New Guinea, known for its many dialects and rich oral tradition.
-
C.
Ansus language
The Ansus language is an Austronesian language spoken in eastern Indonesia, specifically in the South Halmahera–West New Guinea region.
-
D.
Asuri language
Asuri language is an endangered Munda language of the Austroasiatic family spoken by the Asur tribal community in eastern India, primarily in Jharkhand.
-
E.
Ahanta language
The Ahanta language is a Niger-Congo language spoken by the Ahanta people along the coastal region of southwestern Ghana.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e654fac7b481909a19ae0d608e01d9 |
completed | April 20, 2026, 4:31 p.m. |
Created at: April 10, 2026, 1:50 p.m.