Triple
T1955879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huddersfield |
E42265
|
entity |
| Predicate | distanceToLeeds |
P22145
|
FINISHED |
| Object | approximately 14 miles south-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 14 miles south-west | Statement: [Huddersfield, distanceToLeeds, approximately 14 miles south-west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLeeds Context triple: [Huddersfield, distanceToLeeds, approximately 14 miles south-west]
-
A.
distanceFromLeeds
chosen
Indicates the spatial distance between a given entity and the location of Leeds.
-
B.
distanceToManchester
Indicates the measured or calculated distance between a given entity’s location and the city of Manchester.
-
C.
distanceToLondon
Indicates the measured distance between a given entity’s location and the city of London.
-
D.
distanceToBirmingham
Indicates the spatial distance between a given entity’s location and the city of Birmingham.
-
E.
distanceFromBolton
Indicates the spatial distance between a given entity or location and the place named Bolton.
- 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_69a8870eea088190a38781990812a9bc |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb37b4a38819099f98be92be91ade |
completed | March 7, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69abaff3eda88190b643994cb4dfb8df |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.