Triple
T28531474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvey Milk Street, San Diego |
E722052
|
entity |
| Predicate | isMotorVehicleAccessible |
P71557
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Harvey Milk Street, San Diego, isMotorVehicleAccessible, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMotorVehicleAccessible Context triple: [Harvey Milk Street, San Diego, isMotorVehicleAccessible, true]
-
A.
hasMotorVehicleAccess
chosen
Indicates that an entity is permitted to use or operate a motor vehicle within a specified area, context, or under certain conditions.
-
B.
wheelchairAccessibility
Indicates whether a place, service, or route is accessible and usable by people who use wheelchairs.
-
C.
hasWheelchairSpace
Indicates that an object, location, or vehicle includes designated space that can accommodate a wheelchair user.
-
D.
isRoadAccessible
Indicates that a road can be safely and legally used or traversed under the current conditions.
-
E.
isWheelchairAccessibleInPart
Indicates that an entity is only partially accessible to wheelchair users, with some but not all areas or features meeting accessibility requirements.
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64fd617588190904f94042d6f3eb1 |
completed | May 2, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:29 a.m.