Triple
T4933491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pulaski station (CTA Orange Line) |
E110751
|
entity |
| Predicate | hasShelterOnPlatform |
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: [Pulaski station (CTA Orange Line), hasShelterOnPlatform, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShelterOnPlatform Context triple: [Pulaski station (CTA Orange Line), hasShelterOnPlatform, 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.
hasShelteredEntrances
Indicates that an entity provides one or more entrances that are covered or protected from weather or external exposure.
-
D.
hasViewingPlatform
Indicates that an entity includes or is equipped with a designated platform or area intended for viewing or observing something.
-
E.
hasShelteredSeating
Indicates that an entity provides seating that is protected from weather or other external elements.
- 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_69bd4415190c8190817bee7ec9f9f944 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70652d988190ba4a493db510952e |
completed | March 20, 2026, 4:05 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.