Triple
T11071751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AirSWIFT |
E261761
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | AIRSWIFT |
E261761
|
NE 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: AIRSWIFT | Statement: [AirSWIFT, callsign, AIRSWIFT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AIRSWIFT Context triple: [AirSWIFT, callsign, AIRSWIFT]
-
A.
AirSWIFT
chosen
AirSWIFT is a Philippine regional airline known for operating domestic flights that connect Manila to popular island destinations such as El Nido and other tourist hubs.
-
B.
Equair
Equair is an Ecuadorian airline that operated domestic passenger flights, notably serving routes from Guayaquil and Quito.
-
C.
Consair
Consair is an abbreviated name historically used for Consolidated Aircraft, a major American aerospace manufacturer known for producing military aircraft such as the B-24 Liberator during World War II.
-
D.
Canair
Canair was a Spanish regional airline that operated inter-island flights in the Canary Islands.
-
E.
Aerograd
Aerograd is a 1935 Soviet science fiction and propaganda film directed by Alexander Dovzhenko, set in a futuristic Far Eastern border town threatened by foreign and internal enemies.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994bbb30819090410bd3d0fde33c |
completed | April 9, 2026, 12:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c8bfb0c88190be27f5ce09b02c8b |
completed | April 18, 2026, 6:09 p.m. |
Created at: April 8, 2026, 9:26 p.m.