Triple
T11133742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Nuys Airport |
E263353
|
entity |
| Predicate | hasRampSpace |
P97993
|
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: [Van Nuys Airport, hasRampSpace, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRampSpace Context triple: [Van Nuys Airport, hasRampSpace, yes]
-
A.
hasSpiralRampWidth
Indicates that an entity has a spiral ramp whose width is specified by the associated value.
-
B.
hasStepFreeAccess
Indicates that a location, facility, or route can be accessed without using stairs, typically via ramps, lifts, or level entrances.
-
C.
hasVehicleLoadingRamps
Indicates that something is equipped with ramps specifically intended for loading or unloading vehicles.
-
D.
hasSpiralRampLength
Indicates the length measurement of a spiral-shaped ramp in the relationship.
-
E.
hasWheelchairSpace
Indicates that an object, location, or vehicle includes designated space that can accommodate a wheelchair user.
- 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_69d6aa9c0ba08190bbd19c217489b755 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8347a248190837e8c26f25f553a |
completed | April 9, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d7706116248190a87440bec3960884 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:28 p.m.