Triple
T23291309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keighley railway station |
E590036
|
entity |
| Predicate | hasServiceTo |
P6787
|
FINISHED |
| Object | Carlisle |
—
|
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: Carlisle | Statement: [Keighley railway station, hasServiceTo, Carlisle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlisle Context triple: [Keighley railway station, hasServiceTo, Carlisle]
-
A.
Carlisle
chosen
Carlisle is a historic cathedral city and county town of Cumbria in North West England, near the Scottish border.
-
B.
Carlisle
Carlisle is a historic borough in south-central Pennsylvania known for its military education institutions, colonial heritage, and role in the American Revolutionary era.
-
C.
Carlisle
Carlisle is a small city located in central Iowa, United States, known for its close-knit community and proximity to the Des Moines metropolitan area.
-
D.
Carlisle
Carlisle is a fictional vampire doctor and patriarch of the Cullen family in Stephenie Meyer's Twilight series.
-
E.
Carlisle
Carlisle is an English surname most notably associated with American singer Belinda Carlisle.
- 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.