Triple
T4107002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | US |
E88477
|
entity |
| Predicate | assignedTo |
P3151
|
FINISHED |
| Object | US Airways |
E11262
|
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: US Airways | Statement: [US, assignedTo, US Airways]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: US Airways Context triple: [US, assignedTo, US Airways]
-
A.
US Airways
chosen
US Airways was a major American airline that operated domestic and international flights before ultimately combining with American Airlines to form one of the world’s largest carriers.
-
B.
US Airways Express
US Airways Express was the regional brand under which several contracted airlines operated short-haul feeder flights for US Airways in the United States.
-
C.
American Airlines
American Airlines is a major U.S.-based airline and one of the world's largest carriers, operating extensive domestic and international routes.
-
D.
United Airlines
United Airlines is a major American airline and Star Alliance member known for its extensive domestic and international route network operated from multiple hubs across the United States.
-
E.
Southwest Airlines
Southwest Airlines is a major U.S. low-cost carrier known for its extensive domestic route network, no-frills service model, and distinctive open-seating boarding process.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af019c7a3c8190a503ce80e87dc3b3 |
completed | March 9, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f783430819094df0bc715f9236d |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 9, 2026, 3:40 p.m.