Triple
T778310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Florida Airport |
E16438
|
entity |
| Predicate | isPublicAirport |
P19815
|
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: [La Florida Airport, isPublicAirport, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPublicAirport Context triple: [La Florida Airport, isPublicAirport, true]
-
A.
hasInternationalAirport
Indicates that a place possesses an airport that handles international flights and services cross-border air traffic.
-
B.
hubAirport
Indicates that an airport serves as a primary hub or central operating base for a particular airline or carrier.
-
C.
hasRegionalAirport
Indicates that a place or region possesses or is served by a regional airport.
-
D.
airportServed
Indicates that a particular airport provides service to, or is used for air travel to and from, a given location or area.
-
E.
airportOpened
Indicates that an airport began operations or was officially opened at a specific time.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a90365648190ace53b0f0e87aa68 |
completed | March 1, 2026, 9 p.m. |
| PD | Predicate disambiguation | batch_69a4a50bd23081908908235b8ec9201e |
completed | March 1, 2026, 8:43 p.m. |
| PDg | Predicate description generation | batch_69a4a8f09d108190b8c83a6169d65c0c |
completed | March 1, 2026, 9 p.m. |
Created at: March 1, 2026, 7:37 p.m.