Triple
T11194036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenfield railway station |
E264874
|
entity |
| Predicate | lineDistanceFromManchesterVictoria |
P13107
|
FINISHED |
| Object | approximately 11 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 11 miles | Statement: [Greenfield railway station, lineDistanceFromManchesterVictoria, approximately 11 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lineDistanceFromManchesterVictoria Context triple: [Greenfield railway station, lineDistanceFromManchesterVictoria, approximately 11 miles]
-
A.
distanceToManchester
chosen
Indicates the measured or calculated distance between a given entity’s location and the city of Manchester.
-
B.
directionFromManchesterCityCentre
Indicates the compass direction in which one location lies when measured outward from Manchester city centre.
-
C.
distanceToManchesterAirport
Indicates the spatial distance between a given location or entity and Manchester Airport.
-
D.
distanceFromLiverpoolCityCentre
Indicates the spatial distance between a given location and the center of Liverpool city.
-
E.
distanceFromLiverpoolLimeStreet
Indicates the spatial distance between a given location and Liverpool Lime Street station.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8bf14e481908563b15790af4d20 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.