Triple
T17965259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bininj people |
E449187
|
entity |
| Predicate | speakLanguage |
P741
|
FINISHED |
| Object | Kundedjnjenghmi |
—
|
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: Kundedjnjenghmi | Statement: [Bininj people, speakLanguage, Kundedjnjenghmi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kundedjnjenghmi Context triple: [Bininj people, speakLanguage, Kundedjnjenghmi]
-
A.
Kundedjnjenghmi
chosen
Kundedjnjenghmi is a regional dialect of the Bininj Kunwok language spoken by Indigenous Bininj people in western Arnhem Land, Northern Territory, Australia.
-
B.
Dishiishe
Dishiishe is a Somali subclan that forms part of the larger Darod clan-family.
-
C.
Dumanjug
Dumanjug is a coastal municipality in the province of Cebu in the Philippines, known for its agricultural economy and historic churches.
-
D.
Khunanup
Khunanup is the eloquent peasant protagonist of an ancient Egyptian literary tale, renowned for his articulate pleas for justice before the authorities.
-
E.
Djedmutesankh
Djedmutesankh was an ancient Egyptian queen of the 22nd Dynasty, known primarily as a consort of Pharaoh Osorkon II.
- 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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b136e4088190ac97fd92dc84a4b9 |
completed | April 19, 2026, 10:40 a.m. |
Created at: April 10, 2026, 10:22 a.m.