Triple
T5811387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bewdley |
E128874
|
entity |
| Predicate | distanceToKidderminster |
P66467
|
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: [Bewdley, distanceToKidderminster, approximately 3 miles west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToKidderminster Context triple: [Bewdley, distanceToKidderminster, approximately 3 miles west]
-
A.
distanceToWolverhampton
Indicates the measured distance between a given location or entity and the place Wolverhampton.
-
B.
distanceFromChippenham
Indicates the spatial distance between a given entity or location and Chippenham.
-
C.
distanceToHuddersfield
Indicates the spatial distance between a given entity or location and the town of Huddersfield.
-
D.
distanceFromMiltonKeynes
Indicates the measured spatial distance between a given entity’s location and the location of Milton Keynes.
-
E.
distanceToKendal
Indicates the spatial distance between a given entity and the location named Kendal.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b54c2848190bb85212689d0b511 |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021d5ecd081908a62dd66e26f8598 |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c028ffe180819099e084fe557e789c |
completed | March 22, 2026, 5:38 p.m. |
Created at: March 22, 2026, 3:52 p.m.