Triple
T30093197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexborough |
E764789
|
entity |
| Predicate | distanceToRotherham |
P202907
|
FINISHED |
| Object | approximately 7 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 7 miles | Statement: [Mexborough, distanceToRotherham, approximately 7 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToRotherham Context triple: [Mexborough, distanceToRotherham, approximately 7 miles]
-
A.
distanceToHuddersfield
Indicates the spatial distance between a given entity or location and the town of Huddersfield.
-
B.
distanceFromMiddlesbrough
Indicates the spatial distance between an entity’s location and the town of Middlesbrough.
-
C.
distanceToGrantham
Indicates the spatial distance between a given entity and the location of Grantham.
-
D.
distanceToScunthorpe
Indicates the measured or calculated distance between a given entity’s location and the town of Scunthorpe.
-
E.
distanceToSheffield
Indicates the spatial distance between a given entity or location and the city of Sheffield.
- 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_69f22473c0fc8190a926a8051b3b378b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00cda99c908190980e0bf54cb2e2a4 |
completed | May 10, 2026, 6:25 p.m. |
| PD | Predicate disambiguation | batch_6a00cd1635b08190a791ecfcf87a1d54 |
completed | May 10, 2026, 6:23 p.m. |
| PDg | Predicate description generation | batch_6a00cda8ed348190950ee34bb24ae65b |
completed | May 10, 2026, 6:25 p.m. |
Created at: April 29, 2026, 7:06 p.m.