Triple
T5997207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caterham railway station |
E133499
|
entity |
| Predicate | hasLevelAccessToPlatforms |
P67907
|
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, hasLevelAccessToPlatforms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLevelAccessToPlatforms Context triple: [Caterham railway station, hasLevelAccessToPlatforms, yes]
-
A.
hasAccessTo
Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
-
B.
hasHumanAccess
Indicates that a human is able to access, use, or interact with the referenced entity or resource.
-
C.
hasAccessTowards
Indicates that one entity possesses the ability, permission, or means to reach, use, or interact with another entity or resource.
-
D.
hasNumberOfPlatforms
Indicates the relationship that specifies how many platforms are associated with a given entity.
-
E.
hasAccessMode
Indicates the type or method of access that one entity is permitted to use with respect to another entity or resource.
- 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_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. |
| PDg | Predicate description generation | batch_69c04dbefd1081909795fe1a812b991a |
completed | March 22, 2026, 8:14 p.m. |
Created at: March 22, 2026, 4:05 p.m.