Triple
T34718791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LaGuardia Gateway Partners |
E1000850
|
entity |
| Predicate | roleOfVantageAirportGroup |
P5148
|
FINISHED |
| Object | lead airport operator partner |
—
|
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: lead airport operator partner | Statement: [LaGuardia Gateway Partners, roleOfVantageAirportGroup, lead airport operator partner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfVantageAirportGroup Context triple: [LaGuardia Gateway Partners, roleOfVantageAirportGroup, lead airport operator partner]
-
A.
airportRole
chosen
Indicates that an entity serves a specific functional role or capacity within the context of an airport.
-
B.
airportLineRole
Indicates the specific functional role or responsibility an entity has in relation to an airport transit line or route.
-
C.
associatedWithAirportRole
Indicates a relationship where an entity is linked to a specific functional role or responsibility within an airport context.
-
D.
airTrafficRole
Indicates the specific function or responsibility an entity has within the context of air traffic operations or control.
-
E.
businessRoleOfSidLuft
Indicates that the subject holds or held a business-related role or position in relation to Sid Luft.
- 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_69f76dad3f108190a280fd0a2f4ee89a |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 3:59 p.m.