Triple
T26454478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chesham station |
E665443
|
entity |
| Predicate | distanceToNextStationOnLine |
P122161
|
FINISHED |
| Object | approximately 3.89 miles to Chalfont & Latimer |
—
|
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 3.89 miles to Chalfont & Latimer | Statement: [Chesham station, distanceToNextStationOnLine, approximately 3.89 miles to Chalfont & Latimer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNextStationOnLine Context triple: [Chesham station, distanceToNextStationOnLine, approximately 3.89 miles to Chalfont & Latimer]
-
A.
distanceToNextStation
chosen
Indicates the measured or estimated distance from a given point or station to the next station along a route.
-
B.
distanceFromStation
Indicates the measured spatial separation between an entity and a specified station.
-
C.
distanceToNextStationSouth
Indicates the measured distance from a given point or station to the next station located to its south.
-
D.
identifiesStationWithinLine
Indicates that a specific station is recognized as belonging to, or located within, a particular transit line.
-
E.
adjacentStationOnDistrictLine
Indicates that one station is directly next to another station along the District Line, with no other stations in between on that line.
- 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_69ee883d5040819097dd154643005230 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
Created at: April 27, 2026, 12:08 a.m.