Triple
T15362520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damen |
E367322
|
entity |
| Predicate | hasRidershipCategory |
P8370
|
FINISHED |
| Object | local neighborhood station |
—
|
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: local neighborhood station | Statement: [Damen, hasRidershipCategory, local neighborhood station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRidershipCategory Context triple: [Damen, hasRidershipCategory, local neighborhood station]
-
A.
hasPassengerUsageCategory
chosen
Indicates the classification of how a passenger-related resource or service is used (e.g., its usage type or category for passengers).
-
B.
hasTransportCategory
Indicates that one entity is classified under a particular category or type of transport associated with another entity.
-
C.
containsRideType
Indicates that one entity includes or offers a specific type or category of ride as part of its available options.
-
D.
supportsRiderCategory
Indicates that one entity is capable of accommodating, enabling, or being compatible with a specified rider category.
-
E.
hasPublicTransitCoverageType
Indicates the type or category of public transit service coverage associated with an entity.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e479f188190bbbc3dcd73853e02 |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:18 a.m.