Triple
T20344307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bingley |
E495824
|
entity |
| Predicate | postalTown |
P2711
|
FINISHED |
| Object | BINGLEY |
—
|
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: BINGLEY | Statement: [Bingley, postalTown, BINGLEY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BINGLEY Context triple: [Bingley, postalTown, BINGLEY]
-
A.
Bingley
chosen
Bingley is a historic market town in West Yorkshire, England, known for its industrial heritage and scenic waterways.
-
B.
Mr. Bingley
Mr. Bingley is a wealthy, amiable gentleman and close friend of Mr. Darcy who becomes Jane Bennet’s love interest in Jane Austen’s novel "Pride and Prejudice."
-
C.
Baron Bingley
Baron Bingley is a hereditary title in the Peerage of the United Kingdom historically associated with the Lane-Fox family and the Yorkshire gentry.
-
D.
Darcy
Darcy is a character from the 1987 horror-comedy film "My Best Friend Is a Vampire," which follows a teenager coping with his unexpected transformation into a vampire.
-
E.
Wickham
Wickham is a historic village in Hampshire, England, known for its large medieval square and traditional English charm.
- 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_69e0b4a3320881909495ae8bc30bc2dc |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67837bef8819091e552d1c8a1665c |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:24 a.m.