Triple
T10681540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LCT |
E251767
|
entity |
| Predicate | assignedTo |
P3151
|
FINISHED |
| Object | TAR Aerolíneas |
E50075
|
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: TAR Aerolíneas | Statement: [LCT, assignedTo, TAR Aerolíneas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAR Aerolíneas Context triple: [LCT, assignedTo, TAR Aerolíneas]
-
A.
TAR Aerolíneas
chosen
TAR Aerolíneas is a Mexican regional airline that operates domestic routes connecting medium-sized cities across the country.
-
B.
Aerolineas Argentinas
Aerolíneas Argentinas is the flag carrier airline of Argentina, operating domestic and international flights primarily from its hub in Buenos Aires.
-
C.
Condor Airlines
Condor Airlines is a German leisure airline that primarily operates holiday flights from Germany to vacation destinations worldwide.
-
D.
Boliviana de Aviación
Boliviana de Aviación is Bolivia’s state-owned flag carrier airline, operating domestic and international passenger and cargo services.
-
E.
Copa Airlines
Copa Airlines is the flag carrier of Panama and a major Latin American airline known for its extensive route network centered on its hub in Panama City.
- 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_69d6aa5bd7c08190a816e733b4045c23 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6fcc30be481909922844b539b622d |
completed | April 9, 2026, 1:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d98885abf88190b54ed9db779d3ff0 |
completed | April 10, 2026, 11:32 p.m. |
Created at: April 8, 2026, 9:10 p.m.