Triple
T2146553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Hague |
E47078
|
entity |
| Predicate | constituencyRepresented |
P192
|
FINISHED |
| Object | Richmond (Yorks) |
E145327
|
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: Richmond (Yorks) | Statement: [William Hague, constituencyRepresented, Richmond (Yorks)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richmond (Yorks) Context triple: [William Hague, constituencyRepresented, Richmond (Yorks)]
-
A.
Richmond (Yorks)
chosen
Richmond (Yorks) is a rural parliamentary constituency in North Yorkshire, England, known as a long-standing Conservative stronghold.
-
B.
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.
-
C.
Wakefield
Wakefield is a suburban town in Middlesex County, Massachusetts, known for its commuter access to Boston and its scenic Lake Quannapowitt.
-
D.
Horley
Horley is a town in southeast England situated near Gatwick Airport, known as a commuter hub between London and the Sussex coast.
-
E.
Yorkton
Yorkton is a small city in southeastern Saskatchewan, Canada, known as a regional hub for agriculture and services.
- 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_69a88a1933e0819094f18426ed74180f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe25d8848190a3ba691668a68e37 |
completed | March 7, 2026, 5:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae58d75a5c8190b364a4ab5370558a |
completed | March 9, 2026, 5:21 a.m. |
Created at: March 4, 2026, 7:44 p.m.