Triple
T7195390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fagauvea language |
E168600
|
entity |
| Predicate | coexistsWith |
P1867
|
FINISHED |
| Object | Nengone language |
E153639
|
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: Nengone language | Statement: [Fagauvea language, coexistsWith, Nengone language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nengone language Context triple: [Fagauvea language, coexistsWith, Nengone language]
-
A.
Nengone language
chosen
The Nengone language is an Austronesian language spoken primarily on Maré Island in the Loyalty Islands of New Caledonia.
-
B.
Naoero language
The Naoero language is an Austronesian language spoken by the indigenous population of the Pacific island nation of Nauru.
-
C.
Nendö language
The Nendö language is an Oceanic language spoken on Nendö Island in the Solomon Islands’ Temotu Province.
-
D.
Nembe language
The Nembe language is an Ijoid language spoken primarily by the Nembe people in Bayelsa State in Nigeria’s Niger Delta region.
-
E.
Ngare language
The Ngare language is a lesser-known Bantu language belonging to the Sabaki subgroup spoken along the East African coast.
- 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_69c68a5376748190bb500f03df86e93e |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6e927709c81909edf6ee42fe7f833 |
completed | March 27, 2026, 8:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bfa14e1c8190968b207bef0c96a9 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:51 p.m.