Triple
T21015724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Yorkshire derbies |
E517667
|
entity |
| Predicate | teamBasedIn |
P7424
|
FINISHED |
| Object | Castleford |
—
|
NE NERFINISHED |
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: Castleford | Statement: [West Yorkshire derbies, teamBasedIn, Castleford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Castleford Context triple: [West Yorkshire derbies, teamBasedIn, Castleford]
-
A.
Castleford
chosen
Castleford is a historic industrial town in northern England known for its coal mining heritage and location near the River Aire.
-
B.
Castleford
Castleford is a small community in Ontario, Canada, situated along the Bonnechere River and known historically for its riverside setting and local heritage.
-
C.
Huddersfield
Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
-
D.
Featherstone
Featherstone is a small town in West Yorkshire, England, historically known for its coal mining heritage and strong working-class community.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc58272881908a61eda7755ed332 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:54 p.m.