Triple
T21677605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest Air Lines |
E535014
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | SOUTHWEST |
—
|
NE NERFINISHED |
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: SOUTHWEST | Statement: [Southwest Air Lines, callsign, SOUTHWEST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SOUTHWEST Context triple: [Southwest Air Lines, callsign, SOUTHWEST]
-
A.
SOUTHWEST
chosen
SOUTHWEST is the air traffic control callsign used by Southwest Airlines, a major U.S. low-cost carrier.
-
B.
Southwest
Southwest is a broad geographic region of the United States commonly associated with arid landscapes, desert climates, and a blend of Native American, Hispanic, and Anglo-American cultural influences.
-
C.
Southwest
Southwest is a themed area in the Six Flags Fiesta Texas amusement park that reflects the culture and atmosphere of the American Southwest region.
-
D.
Suroeste
Suroeste is a district of Santa Cruz de Tenerife known for its largely residential character and mix of urban and semi-rural areas on the island of Tenerife in Spain’s Canary Islands.
-
E.
Юго-Западная
Юго-Западная is a Moscow Metro station on the Sokolnicheskaya Line, serving the southwestern part of the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46898008190aa618a4af55bd1ee |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a11088081908911af2629f54c1c |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 16, 2026, 6:42 p.m.