Triple
T26735886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warren Street station |
E674107
|
entity |
| Predicate | stepFreeAccessToPlatforms |
P3790
|
FINISHED |
| Object | no |
—
|
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: no | Statement: [Warren Street station, stepFreeAccessToPlatforms, no]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stepFreeAccessToPlatforms Context triple: [Warren Street station, stepFreeAccessToPlatforms, no]
-
A.
accessToPlatforms
Indicates that one entity is able to use, reach, or interact with certain platforms provided or controlled by another entity.
-
B.
hasStepFreeAccess
chosen
Indicates that a location, facility, or route can be accessed without using stairs, typically via ramps, lifts, or level entrances.
-
C.
hasLiftOnlyAccessToPlatforms
Indicates that access to the platforms is provided exclusively via a lift (elevator), with no alternative means such as stairs or ramps.
-
D.
hasIslandPlatformAccess
Indicates that access is provided to or from an island platform, typically located between tracks and reachable by passengers.
-
E.
hasNumberOfStepsToObservationPlatform
Indicates the specific count of steps required to reach an observation platform.
- 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_69eecda57ab481909424e98f2835e7d8 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f61844d7f8819081080f687999b77a |
completed | May 2, 2026, 3:29 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 3:47 a.m.