Triple
T4259529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montgomery Regional Airport |
E96068
|
entity |
| Predicate | hasCommercialAirlines |
P35742
|
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: [Montgomery Regional Airport, hasCommercialAirlines, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommercialAirlines Context triple: [Montgomery Regional Airport, hasCommercialAirlines, yes]
-
A.
hasAirlines
chosen
Indicates that one entity (such as an airport, city, or country) is served by or associated with one or more airline operators.
-
B.
airlinesUse
Indicates that certain airlines operate, employ, or make use of a specified resource, service, or system.
-
C.
operatesFlightsInRegion
Indicates that an airline or carrier runs or provides flight services within a specified geographic region.
-
D.
hasRegionalAirport
Indicates that a place or region possesses or is served by a regional airport.
-
E.
hasDomesticFlights
Indicates that an airline or airport operates flights within the same country, connecting domestic destinations.
- 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_69b3454095ac81909c2494f7ff294af1 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34f7fe7348190baed8d214268b756 |
completed | March 12, 2026, 11:42 p.m. |
| PD | Predicate disambiguation | batch_69b347f73e008190a908a48ef389945a |
completed | March 12, 2026, 11:10 p.m. |
Created at: March 12, 2026, 11:06 p.m.