Triple
T3372689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TACA Airlines |
E70990
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | TACA |
E70990
|
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: TACA | Statement: [TACA Airlines, callsign, TACA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TACA Context triple: [TACA Airlines, callsign, TACA]
-
A.
TACA Airlines
chosen
TACA Airlines was a major Central American airline based in El Salvador that operated an extensive regional and international route network before merging with Avianca.
-
B.
Tʼway Air
Tʼway Air is a South Korean low-cost airline operating domestic and international routes across Asia and the Pacific.
-
C.
ATA Airlines
ATA Airlines is an Iranian airline that operates domestic and regional flights, using Mehrabad International Airport in Tehran as one of its main bases.
-
D.
Calafia Airlines
Calafia Airlines is a regional Mexican airline based in Baja California Sur that operates domestic routes across the Baja Peninsula and other destinations in Mexico.
-
E.
Dana Air
Dana Air is a Nigerian domestic airline based in Lagos that operates scheduled passenger services to major cities across the country.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2bdcf70819087fc7e00fbd61e0d |
completed | March 8, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3343fd8a08190bf426884ec42948c |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:13 p.m.