Triple
T12580973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hurunui District |
E300333
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Amberley |
E991067
|
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: Amberley | Statement: [Hurunui District, containsTown, Amberley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amberley Context triple: [Hurunui District, containsTown, Amberley]
-
A.
Amberley
Amberley is a picturesque village in West Sussex, England, known for its historic cottages, castle, and scenic setting in the South Downs near the River Arun.
-
B.
Amberley
chosen
Amberley is a small rural service town in North Canterbury, New Zealand, known as an agricultural and viticultural hub for the surrounding Hurunui region.
-
C.
Amberley, Gloucestershire
Amberley, Gloucestershire is a small, picturesque village on the edge of Minchinhampton Common in the Cotswolds, known for its traditional stone cottages and scenic rural setting.
-
D.
Bramber
Bramber is a historic village in West Sussex, England, known for the ruins of Bramber Castle and its picturesque rural setting.
-
E.
Amberlea
Amberlea is a residential neighbourhood located in the city of Pickering in the Greater Toronto Area of Ontario, Canada.
- 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_69d7bde87b648190bcd0266e9efde098 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954b97a508190b6c901c506441dd0 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ebab65081908a174586f0ebb16f |
completed | May 2, 2026, 8:29 p.m. |
Created at: April 9, 2026, 5:02 p.m.