Triple
T8142380
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B Division subway cars |
E190126
|
entity |
| Predicate | accessibilityFeatures |
P80912
|
FINISHED |
| Object | designed to accommodate standing passengers |
—
|
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: designed to accommodate standing passengers | Statement: [B Division subway cars, accessibilityFeatures, designed to accommodate standing passengers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: accessibilityFeatures Context triple: [B Division subway cars, accessibilityFeatures, designed to accommodate standing passengers]
-
A.
accessFeature
Indicates that one entity is permitted to use or interact with a specific feature or capability of another entity.
-
B.
capabilityType
Indicates the type or category of capability that an entity possesses or is associated with.
-
C.
featuresIn
Indicates that an entity appears or plays a role within another entity, such as a person or element being included in a work, event, or context.
-
D.
accessModelIntroduced
Indicates that a particular method, mechanism, or pathway for accessing something has been newly introduced or made available.
-
E.
accessible
Indicates that one entity can be reached, entered, used, or understood by another entity, often without undue difficulty or barriers.
- 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4443a3748190bbae79f1d673c03d |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39d20e78819092ea9e04357be008 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:36 p.m.