Triple
T13740783
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buckley railway station |
E330077
|
entity |
| Predicate | distanceFromWrexhamCentral |
P69586
|
FINISHED |
| Object | approximately 9.5 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 9.5 miles | Statement: [Buckley railway station, distanceFromWrexhamCentral, approximately 9.5 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromWrexhamCentral Context triple: [Buckley railway station, distanceFromWrexhamCentral, approximately 9.5 miles]
-
A.
distanceToWrexham
chosen
Indicates the spatial distance between a given entity and the location of Wrexham.
-
B.
distanceToWolverhampton
Indicates the measured distance between a given location or entity and the place Wolverhampton.
-
C.
distanceToOswestry
Indicates the spatial distance between a given entity and the location of Oswestry.
-
D.
distanceFromWokingham
Indicates the measured distance between a given entity or location and Wokingham.
-
E.
distanceTo_Aberystwyth_km
Indicates the distance, measured in kilometers, between a given entity and Aberystwyth.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0206a4b88190a60914e2b43e54f9 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe950b148190ba0df8a749269ec6 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:55 p.m.