Triple
T7419024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Again |
E171197
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Virgin America |
E187091
|
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: Virgin America | Statement: [Again, recordLabel, Virgin America]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virgin America Context triple: [Again, recordLabel, Virgin America]
-
A.
Virgin America
chosen
Virgin America was a U.S.-based low-cost airline known for its stylish, tech-friendly in-flight experience and West Coast–focused route network.
-
B.
Spirit Airlines
Spirit Airlines is an American ultra-low-cost carrier known for its no-frills service model and extensive network of domestic and Latin American routes.
-
C.
Island Air
Island Air was a regional airline based in Hawaii that operated inter-island flights among the major Hawaiian Islands.
-
D.
Frontier Airlines
Frontier Airlines is a U.S. ultra-low-cost carrier known for its point-to-point route network, animal-themed aircraft tails, and extensive domestic service.
-
E.
Azimuth Airlines
Azimuth Airlines is a Russian regional airline based in Rostov-on-Don, known for operating domestic and short-haul international routes primarily using Sukhoi Superjet 100 aircraft.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2e93ffc8190beb5a1d3eb6c5d23 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c845ecfe988190a981924f5ef49c83 |
completed | March 28, 2026, 9:19 p.m. |
Created at: March 27, 2026, 3:11 p.m.