Triple
T23088033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egton railway station |
E575665
|
entity |
| Predicate | distanceFromWhitbyByRail |
P69589
|
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: [Egton railway station, distanceFromWhitbyByRail, approximately 7 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromWhitbyByRail Context triple: [Egton railway station, distanceFromWhitbyByRail, approximately 7 miles]
-
A.
distanceToWhitby
chosen
Indicates the measured spatial distance between a given entity and the location Whitby.
-
B.
distanceToClitheroe
Indicates the spatial distance between a given entity or location and the town of Clitheroe.
-
C.
distanceFromBanburyByRail
Indicates the distance between a place and Banbury when traveling by railway.
-
D.
distanceToYorkCityCentre
Indicates the measured or specified distance between a given location and the centre of York city.
-
E.
distanceToBerwickUponTweed
Indicates the spatial distance between a given entity and the location of Berwick-upon-Tweed.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da7c54c81908b62d04ab1811b06 |
completed | April 29, 2026, 4:48 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:57 p.m.