Triple
T3704491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Paso International Airport |
E80857
|
entity |
| Predicate | hasHubAirlineRole |
P4364
|
FINISHED |
| Object | focus city for Southwest Airlines (historical/partial) |
—
|
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: focus city for Southwest Airlines (historical/partial) | Statement: [El Paso International Airport, hasHubAirlineRole, focus city for Southwest Airlines (historical/partial)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHubAirlineRole Context triple: [El Paso International Airport, hasHubAirlineRole, focus city for Southwest Airlines (historical/partial)]
-
A.
airlineHub
chosen
Indicates that a particular location (typically an airport or city) serves as a central hub or primary operational base for an airline.
-
B.
hasAirlines
Indicates that one entity (such as an airport, city, or country) is served by or associated with one or more airline operators.
-
C.
ownsAirline
Indicates that one entity has legal ownership or controlling interest in an airline company.
-
D.
aircraftOperator
Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
-
E.
servesAirlineType
Indicates that a service provider (such as an airport, terminal, or facility) accommodates or operates flights for a specified type or category of airline.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54bbfcc8190bec9c16e3749c3b1 |
completed | March 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69adc041a8608190a2d543dab6d2ef6c |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.