Triple
T3660375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central West (New South Wales) |
E77632
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Grenfell |
E295941
|
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: Grenfell | Statement: [Central West (New South Wales), hasTown, Grenfell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grenfell Context triple: [Central West (New South Wales), hasTown, Grenfell]
-
A.
Grenfell
chosen
Grenfell is a rural town in New South Wales, Australia, known for its agricultural surroundings and historic gold-mining heritage.
-
B.
Grenfell Park
Grenfell Park is a public green space and recreational park located in the town of Maidenhead, England.
-
C.
Churchill Towers
Churchill Towers is a prominent twin-tower commercial and residential skyscraper complex located in Dubai’s Business Bay district.
-
D.
Barbican Estate
Barbican Estate is a prominent post-war Brutalist residential and cultural complex in central London, known for its distinctive architecture and the Barbican Centre arts venue.
-
E.
Waterhouse
Waterhouse is a surname most notably associated with John William Waterhouse, the British painter famed for his Romantic and Pre-Raphaelite-style depictions of mythological and literary subjects.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d6fa188190a6db5bdae7083573 |
completed | March 8, 2026, 6:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48844a380819084c4627a95b4cb3c |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.