Triple
T5391997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kirkstall Abbey |
E120350
|
entity |
| Predicate | distanceFromLeedsCityCentre |
P22145
|
FINISHED |
| Object | approximately 3 miles 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: approximately 3 miles west | Statement: [Kirkstall Abbey, distanceFromLeedsCityCentre, approximately 3 miles west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromLeedsCityCentre Context triple: [Kirkstall Abbey, distanceFromLeedsCityCentre, approximately 3 miles west]
-
A.
distanceFromLeeds
chosen
Indicates the spatial distance between a given entity and the location of Leeds.
-
B.
distanceToBradfordCityCentre
Indicates the spatial distance between a given location and the centre of Bradford city.
-
C.
distanceFromCentralLondon
Indicates the spatial separation or length of travel between a given location and central London.
-
D.
distanceToSheffieldCityCentre
Indicates the spatial distance between a given location and the centre of Sheffield city.
-
E.
distanceFromLiverpoolCityCentre
Indicates the spatial distance between a given location and the center of Liverpool city.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd8719ff04819089e3a90f90b5e3fc |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd8463a9c88190bd760378f3026180 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.