Triple
T12417774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaGuardia Airport |
E296680
|
entity |
| Predicate | hasSlotControls |
P105007
|
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: [LaGuardia Airport, hasSlotControls, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSlotControls Context triple: [LaGuardia Airport, hasSlotControls, true]
-
A.
supportsSpeedControls
Indicates that an entity provides or is compatible with mechanisms to adjust or control speed.
-
B.
hasControlCab
Indicates that an entity is equipped with or includes a control cab used for operating or controlling it.
-
C.
hasNavigationControl
Indicates that one entity possesses authority or capability to direct, manage, or influence the movement or course of another entity.
-
D.
hasTouchControls
Indicates that an entity supports or is operated through touch-based input controls.
-
E.
hasMultipleUnitControl
Indicates that a single controller or agent is able to direct, manage, or operate more than one unit simultaneously.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94e1888b48190bd750f839a26e99e |
completed | April 10, 2026, 7:23 p.m. |
| PD | Predicate disambiguation | batch_69d94d354b488190adc83fb4f2770dd5 |
completed | April 10, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69d94e15f21c8190831c9562ffdd4fda |
completed | April 10, 2026, 7:23 p.m. |
Created at: April 8, 2026, 9:55 p.m.