Triple
T11676629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shire of Broome |
E277508
|
entity |
| Predicate | hasLocalGovernmentRegion |
P41452
|
FINISHED |
| Object | Kimberley |
E807823
|
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: Kimberley | Statement: [Shire of Broome, hasLocalGovernmentRegion, Kimberley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimberley Context triple: [Shire of Broome, hasLocalGovernmentRegion, Kimberley]
-
A.
Kimberley
Kimberley is a historic South African city famed for its diamond mining heritage and the Big Hole, one of the world’s largest hand-dug excavations.
-
B.
Kimberley
chosen
Kimberley is a remote and rugged region in northwestern Australia known for its dramatic landscapes, rich Aboriginal cultures, and significant Indigenous heritage.
-
C.
Murchison
Murchison is a small rural town in New Zealand’s South Island known as a gateway to outdoor recreation and white-water rafting in the Tasman region.
-
D.
Murchison
Murchison is a Scottish surname most notably associated with Sir Roderick Murchison, a prominent 19th-century geologist.
-
E.
Mooloolaba
Mooloolaba is a popular coastal resort town in Queensland, Australia, known for its surf beaches, esplanade, and tourism-focused waterfront.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a46000a48190888ad1a6ade052e3 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f280acab488190b1a912dc0e82bc44 |
completed | April 29, 2026, 10:05 p.m. |
Created at: April 8, 2026, 9:40 p.m.