Triple
T14038973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bootle Oriel Road railway station |
E337788
|
entity |
| Predicate | distanceToLiverpoolCentral |
P112588
|
FINISHED |
| Object | approximately 4.25 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 4.25 miles | Statement: [Bootle Oriel Road railway station, distanceToLiverpoolCentral, approximately 4.25 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLiverpoolCentral Context triple: [Bootle Oriel Road railway station, distanceToLiverpoolCentral, approximately 4.25 miles]
-
A.
distanceFromLiverpoolCityCentre
Indicates the spatial distance between a given location and the center of Liverpool city.
-
B.
distanceFromLiverpoolLimeStreet
Indicates the spatial distance between a given location and Liverpool Lime Street station.
-
C.
distanceToManchester
Indicates the measured or calculated distance between a given entity’s location and the city of Manchester.
-
D.
distanceFromSunderland
Indicates the spatial distance between a given entity and the location of Sunderland.
-
E.
distanceToLondon
Indicates the measured distance between a given entity’s location and the city of London.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de30ee374081908b6b5e8f81dd90f2 |
completed | April 14, 2026, 12:20 p.m. |
| PD | Predicate disambiguation | batch_69de05ab36b48190920efb1869bdb1fe |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:20 p.m.