Triple
T23291315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keighley railway station |
E590036
|
entity |
| Predicate | hasHeritageServiceTo |
P151724
|
FINISHED |
| Object | Haworth |
—
|
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: Haworth | Statement: [Keighley railway station, hasHeritageServiceTo, Haworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haworth Context triple: [Keighley railway station, hasHeritageServiceTo, Haworth]
-
A.
Haworth
chosen
Haworth is a historic village in West Yorkshire, England, best known as the home of the Brontë sisters and a popular literary and heritage tourism destination.
-
B.
Haworth
Haworth is a global office furniture and workspace solutions company known for its innovative, design-driven products and collaborations with leading designers.
-
C.
Heworth
Heworth is a suburban area in Tyne and Wear, England, known for its transport interchange that serves as a key local rail and Metro station.
-
D.
Horwood
Horwood is the surname of English actress and former model Jane March.
-
E.
Haughton
Haughton is the surname of the late American singer and actress Aaliyah, associated with her influential legacy in R&B and pop music.
- 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_69e25d1af9d88190a0b9b5e8fa608618 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f196cb3fec8190a95255da97dd984e |
completed | April 29, 2026, 5:27 a.m. |
Created at: April 17, 2026, 5:02 p.m.