Triple
T31034476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trinity, Edinburgh |
E790817
|
entity |
| Predicate | closenessToCityCentre |
P85867
|
FINISHED |
| Object | within a few kilometres of Edinburgh city centre |
—
|
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: within a few kilometres of Edinburgh city centre | Statement: [Trinity, Edinburgh, closenessToCityCentre, within a few kilometres of Edinburgh city centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closenessToCityCentre Context triple: [Trinity, Edinburgh, closenessToCityCentre, within a few kilometres of Edinburgh city centre]
-
A.
roadDistanceToCityCentre_km
Indicates the distance in kilometers from a location to the city centre when traveling by road.
-
B.
isFartherFromCityCenterThan
Indicates that one location is at a greater distance from the city center than another location.
-
C.
distanceToWokingTownCentre
Indicates the spatial distance between a given location and the center of Woking town.
-
D.
hasCoordinateInCityCentreApprox
chosen
Indicates that an entity’s location is approximately within the central area of a city, based on its geographic coordinates.
-
E.
distanceToReadingTownCentre
Indicates the measured distance between a given location and the centre of Reading town.
- 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_69f224c97a788190b5da1ead6038a74e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 29, 2026, 8:59 p.m.