Triple
T6661787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalmeny railway station |
E151492
|
entity |
| Predicate | directionFromEdinburghWaverley |
P29929
|
FINISHED |
| Object | north-west |
—
|
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: north-west | Statement: [Dalmeny railway station, directionFromEdinburghWaverley, north-west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromEdinburghWaverley Context triple: [Dalmeny railway station, directionFromEdinburghWaverley, north-west]
-
A.
distanceFromEdinburghWaverley
Indicates the measured distance between a given location and Edinburgh Waverley station.
-
B.
geographicDirectionFromEdinburgh
chosen
Indicates the geographic direction in which one place or entity is located relative to Edinburgh.
-
C.
distanceFromEdinburghApprox
Indicates that an entity is located at an approximate distance from Edinburgh, rather than an exact measured distance.
-
D.
directionFromLondon
Indicates the cardinal or relative compass direction of an entity’s location when measured from London.
-
E.
directionFromManchesterCityCentre
Indicates the compass direction in which one location lies when measured outward from Manchester city centre.
- 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_69c687f5fac48190a09e4838d9c6b45d |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6cc9d53848190ac75523c157249c6 |
completed | March 27, 2026, 6:29 p.m. |
| PD | Predicate disambiguation | batch_69c6ad071b0081909b96dd4b93414bd1 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:02 p.m.