Triple
T5265125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Peak |
E118919
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Hayfield |
E134064
|
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: Hayfield | Statement: [High Peak, containsSettlement, Hayfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayfield Context triple: [High Peak, containsSettlement, Hayfield]
-
A.
Hayfield
chosen
Hayfield is a village in Derbyshire, England, known as a gateway to the Peak District and the moorland plateau of Kinder Scout.
-
B.
Homersfield
Homersfield is a small village and civil parish on the River Waveney in eastern England, known for its historic bridge and rural Suffolk setting.
-
C.
Highfield
Highfield is one of Harare’s oldest and most populous high-density suburbs, historically known as a center of political activism in Zimbabwe.
-
D.
Highfield
Highfield is a residential neighbourhood within the town of Bicester in Oxfordshire, England.
-
E.
Nutfield
Nutfield is a village and civil parish in Surrey, England, known for its rural character and proximity to the town of Redhill.
- 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bf89ae481908835b711fb2696fd |
completed | March 20, 2026, 4:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe8b787881909be9c01d1ba52561 |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:51 p.m.