Triple
T12804700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newton Park campus |
E306112
|
entity |
| Predicate | distanceFromBathCityCentre_km |
P106474
|
FINISHED |
| Object | approximately 5 |
—
|
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 5 | Statement: [Newton Park campus, distanceFromBathCityCentre_km, approximately 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBathCityCentre_km Context triple: [Newton Park campus, distanceFromBathCityCentre_km, approximately 5]
-
A.
distanceFromBath
Indicates the spatial distance between an entity and a specified bath or bathing facility.
-
B.
distanceToBathgate
Indicates the spatial distance between a given entity and the location Bathgate.
-
C.
distanceFromPattayaCityCentre
Indicates the measured distance between a given location and the central area of Pattaya City.
-
D.
distanceFromCentralLondon
Indicates the spatial separation or length of travel between a given location and central London.
-
E.
distanceToBradfordCityCentre
Indicates the spatial distance between a given location and the centre of Bradford city.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e7f370c8190b3fc39c1b63394c6 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d88be0481908c311f1e71b61e70 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:30 p.m.