Triple
T4350668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sowerby Bridge railway station |
E98016
|
entity |
| Predicate | hasFormerGoodsFacilities |
P29363
|
FINISHED |
| Object | goods yard |
—
|
LITERAL 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: goods yard | Statement: [Sowerby Bridge railway station, hasFormerGoodsFacilities, goods yard]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerGoodsFacilities Context triple: [Sowerby Bridge railway station, hasFormerGoodsFacilities, goods yard]
-
A.
hasFacilities
Indicates that an entity possesses, provides, or is equipped with certain facilities or physical resources.
-
B.
hasFormerUse
chosen
Indicates that something previously served a particular function or role that it no longer has.
-
C.
hasFormerService
Indicates that an entity previously provided a service to another entity but no longer does so.
-
D.
hasFormerSettlement
Indicates that a location previously contained a settlement that no longer exists or is no longer inhabited.
-
E.
hasFormerUseNearby
Indicates that something in the vicinity previously had a particular use or function that is no longer current.
- F. None of above.
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_69b3454965f881908c41190bb22f0e4b |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b351a99788819080b13a20124e49a0 |
completed | March 12, 2026, 11:52 p.m. |
| PD | Predicate disambiguation | batch_69b34f51ed7c8190b7bf5f44b56b730d |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:15 p.m.