Triple
T5997208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caterham railway station |
E133499
|
entity |
| Predicate | hasSheltersOnPlatforms |
P24211
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Caterham railway station, hasSheltersOnPlatforms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSheltersOnPlatforms Context triple: [Caterham railway station, hasSheltersOnPlatforms, yes]
-
A.
hasShelteredPlatforms
chosen
Indicates that the subject provides or includes platforms that are covered or protected from the elements.
-
B.
hasShelters
Indicates that one entity provides, contains, or is associated with one or more shelters for another entity or purpose.
-
C.
hasNumberOfPlatforms
Indicates the relationship that specifies how many platforms are associated with a given entity.
-
D.
hasSidePlatforms
Indicates that something is equipped with platforms located on its sides, typically for access, support, or operation.
-
E.
hasIslandPlatforms
Indicates that the subject has one or more island-style platforms, typically positioned between tracks and accessible from both sides.
- 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_69c00870ddbc81909880fa3864f4f38d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04ee274e08190b6478c7ae318ae48 |
completed | March 22, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69c049e152e88190979ab80cb9b50321 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:05 p.m.