Triple
T31901373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxenhope railway station |
E814430
|
entity |
| Predicate | lineLengthFromKeighley |
P172712
|
FINISHED |
| Object | approximately 5 miles |
—
|
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: approximately 5 miles | Statement: [Oxenhope railway station, lineLengthFromKeighley, approximately 5 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineLengthFromKeighley Context triple: [Oxenhope railway station, lineLengthFromKeighley, approximately 5 miles]
-
A.
laneLength
Indicates the length or distance of a lane in a given context.
-
B.
lineLengthType
Indicates the type or category used to characterize the length of a line.
-
C.
railwayLineLength
Indicates the total measured length of a railway line.
-
D.
lineDistanceFromLondonKingsCross
Indicates the distance along a route or line measured from London Kings Cross as the reference starting point.
-
E.
inningLength
Indicates the duration or number of units (e.g., outs, minutes, or pitches) that make up a single inning in a game or sporting event.
- F. None of above. chosen
Provenance (4 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_69f348f04d7881909537fc9e7cbc670e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6b168342481909e2e0d4fd99378d6 |
completed | May 3, 2026, 2:22 a.m. |
| PD | Predicate disambiguation | batch_69f6aca59d4881908d14ed47962703bd |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6af7d92008190aead47eaae8cc091 |
completed | May 3, 2026, 2:14 a.m. |
Created at: April 30, 2026, 11:59 p.m.