Triple
T37351035
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coseley |
E927320
|
entity |
| Predicate | distanceToWolverhamptonCityCentre_km |
P59406
|
FINISHED |
| Object | 6 |
—
|
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: 6 | Statement: [Coseley, distanceToWolverhamptonCityCentre_km, 6]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWolverhamptonCityCentre_km Context triple: [Coseley, distanceToWolverhamptonCityCentre_km, 6]
-
A.
distanceToWolverhampton
chosen
Indicates the measured distance between a given location or entity and the place Wolverhampton.
-
B.
distanceFromCentralLondon
Indicates the spatial separation or length of travel between a given location and central London.
-
C.
distanceToOswestry
Indicates the spatial distance between a given entity and the location of Oswestry.
-
D.
distanceToSolihullTownCentre
Indicates the measured or specified distance between an entity’s location and Solihull town centre.
-
E.
distanceToWrexham
Indicates the spatial distance between a given entity and the location of Wrexham.
- 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:16 p.m.