Triple
T22135377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knutsford railway station |
E547011
|
entity |
| Predicate | distanceFromChester |
P29987
|
FINISHED |
| Object | approximately 29 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 29 miles | Statement: [Knutsford railway station, distanceFromChester, approximately 29 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromChester Context triple: [Knutsford railway station, distanceFromChester, approximately 29 miles]
-
A.
distanceToChesterCityCentre
chosen
Indicates the measured or specified distance between a given location and the centre of Chester city.
-
B.
distanceToChesterfield
Indicates the spatial distance between a given entity and the location named Chesterfield.
-
C.
distanceToChepstow
Indicates the spatial distance between a given entity and the location of Chepstow.
-
D.
distanceToColchester
Indicates the spatial distance between a given entity and the location of Colchester.
-
E.
distanceToLancaster
Indicates the measured distance between a given entity’s location and the location of Lancaster.
- 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_69e11e39bf348190b541bfa16a7b71e0 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129b9ee54819081141c4f28e1211a |
completed | April 28, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:32 p.m.