Triple
T36902314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thorpe Bay railway station |
E912071
|
entity |
| Predicate | hasWaitingShelterOnPlatform1 |
P191128
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Thorpe Bay railway station, hasWaitingShelterOnPlatform1, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaitingShelterOnPlatform1 Context triple: [Thorpe Bay railway station, hasWaitingShelterOnPlatform1, true]
-
A.
hasPlatformOn
Indicates that one entity is physically supported by or situated on the surface or structure of another entity.
-
B.
hasPassengerShelterOnEachPlatform
Indicates that every platform at a given location is equipped with a passenger shelter.
-
C.
hasSeatingOnPlatform
Indicates that seating is available on a platform as part of the described setting or infrastructure.
-
D.
hasNumberOfStepsToObservationPlatform
Indicates the specific count of steps required to reach an observation platform.
-
E.
hasBoardingAreaFor
Indicates that one entity provides or contains a designated area where passengers can board another entity (such as a vehicle or vessel).
- 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
| PDg | Predicate description generation | batch_69fcda35dc048190a3c90e15230900e0 |
completed | May 7, 2026, 6:30 p.m. |
Created at: May 3, 2026, 4:13 p.m.