Triple
T17965284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bininj people |
E449187
|
entity |
| Predicate | associatedWithPlace |
P2830
|
FINISHED |
| Object | Maningrida |
—
|
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: Maningrida | Statement: [Bininj people, associatedWithPlace, Maningrida]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maningrida Context triple: [Bininj people, associatedWithPlace, Maningrida]
-
A.
Maningrida
chosen
Maningrida is a remote Aboriginal community and service town in Australia’s Northern Territory, known for its rich Indigenous culture and art.
-
B.
Ulmarra
Ulmarra is a small historic riverside village in New South Wales, Australia, known for its heritage streetscape and location on the Clarence River.
-
C.
Nainwa
Nainwa is a town in the Bundi district of Rajasthan, India, known for its traditional Rajasthani culture and regional markets.
-
D.
Tanasi
Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
-
E.
Cacoal
Cacoal is a municipality in the Brazilian state of Rondônia, known as a regional commercial and agricultural center in the western Amazon region.
- 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.