Triple
T5612539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whinhill railway station |
E147390
|
entity |
| Predicate | distanceFromGlasgowCentral |
P18511
|
FINISHED |
| Object | approximately 23 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 23 miles | Statement: [Whinhill railway station, distanceFromGlasgowCentral, approximately 23 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromGlasgowCentral Context triple: [Whinhill railway station, distanceFromGlasgowCentral, approximately 23 miles]
-
A.
distanceFromGlasgow
chosen
Indicates the spatial distance separating a given entity or location from Glasgow.
-
B.
distanceFromEdinburghApprox
Indicates that an entity is located at an approximate distance from Edinburgh, rather than an exact measured distance.
-
C.
distanceToDundee
Indicates the measured spatial distance between a given entity and the location of Dundee.
-
D.
distanceFromEdinburghWaverley
Indicates the measured distance between a given location and Edinburgh Waverley station.
-
E.
distanceToKirkcaldy
Indicates the spatial distance between a given entity and the location of Kirkcaldy.
- 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_69c00905d4588190bd967842bbcf2219 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0212143708190b5234407334ab216 |
completed | March 22, 2026, 5:04 p.m. |
| PD | Predicate disambiguation | batch_69c01b1b3c98819080687d18ab10a914 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:39 p.m.