Triple
T4018174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windlestone Hall |
E91213
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Bishop Auckland |
E204560
|
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: Bishop Auckland | Statement: [Windlestone Hall, near, Bishop Auckland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bishop Auckland Context triple: [Windlestone Hall, near, Bishop Auckland]
-
A.
Bishop Auckland
chosen
Bishop Auckland is a historic market town in North East England known for its medieval Auckland Castle and strong links to the Bishops of Durham.
-
B.
Consett
Consett is a town in north-west County Durham, England, historically known for its steelworks and industrial heritage.
-
C.
Wakefield
Wakefield is a historic cathedral city in West Yorkshire, Northern England, known for its medieval heritage and role as an administrative and commercial center in the region.
-
D.
Wakefield
Wakefield is a picturesque village in western Quebec, Canada, known for its historic covered bridge, arts community, and scenic setting along the Gatineau River.
-
E.
Wakefield
Wakefield is a suburban town in Middlesex County, Massachusetts, known for its commuter access to Boston and its scenic Lake Quannapowitt.
- 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_69aed9618b04819081750d979d2af098 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaa984948190a252eaeb9dbae454 |
completed | March 9, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c792d948190aed89f2a52d65688 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:35 p.m.