Triple
T15510861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kedzie |
E368703
|
entity |
| Predicate | hasPlatformAccessControl |
P6865
|
FINISHED |
| Object | paid area separated by turnstiles |
—
|
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: paid area separated by turnstiles | Statement: [Kedzie, hasPlatformAccessControl, paid area separated by turnstiles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlatformAccessControl Context triple: [Kedzie, hasPlatformAccessControl, paid area separated by turnstiles]
-
A.
hasLevelAccessToPlatforms
Indicates that an entity is permitted to access certain platforms at a specified level or tier of authorization.
-
B.
hasIslandPlatformAccess
Indicates that access is provided to or from an island platform, typically located between tracks and reachable by passengers.
-
C.
hasAccessMode
chosen
Indicates the type or method of access that one entity is permitted to use with respect to another entity or resource.
-
D.
hasAccessTo
Indicates that one entity is permitted to enter, use, or interact with another entity, resource, or location.
-
E.
hasHumanAccess
Indicates that a human is able to access, use, or interact with the referenced entity or resource.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03fd008708190a3657863eb9ac626 |
completed | April 16, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:55 a.m.