Triple
T7408096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buli language |
E170930
|
entity |
| Predicate | isGeographicallyCloseTo |
P61362
|
FINISHED |
| Object | Gane language |
E170929
|
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: Gane language | Statement: [Buli language, isGeographicallyCloseTo, Gane language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gane language Context triple: [Buli language, isGeographicallyCloseTo, Gane language]
-
A.
Gane language
chosen
The Gane language is an Austronesian language spoken by the Gane people in the southern part of Halmahera in eastern Indonesia.
-
B.
Ghanongga language
The Ghanongga language is an Oceanic language spoken by indigenous communities on New Georgia Island in the Solomon Islands.
-
C.
Nganasan language
The Nganasan language is a critically endangered Samoyedic language spoken by the Nganasan people of the Taymyr Peninsula in northern Siberia.
-
D.
Guna language
Guna language is an indigenous Chibchan language spoken by the Guna people of Panama and Colombia.
-
E.
Gura language
The Gura language is an Ethiopian Semitic language spoken by the Gurage people in central Ethiopia.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f4eb5c808190ba08956bcf297ea8 |
completed | March 27, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8111fcd948190adbe6280df53a916 |
completed | March 28, 2026, 5:34 p.m. |
Created at: March 27, 2026, 3:10 p.m.