Triple
T6618519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mesa Airlines |
E149616
|
entity |
| Predicate | operatesAs |
P310
|
FINISHED |
| Object | American Eagle |
E3508
|
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: American Eagle | Statement: [Mesa Airlines, operatesAs, American Eagle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: American Eagle Context triple: [Mesa Airlines, operatesAs, American Eagle]
-
A.
American Eagle
American Eagle is a classic wooden racing roller coaster known for its massive structure and high-speed dueling tracks at Six Flags Great America.
-
B.
American Eagle Outfitters
American Eagle Outfitters is a U.S.-based clothing and accessories retailer known for its casual, youth-oriented fashion and widespread mall and online presence.
-
C.
American Eagle (brand)
chosen
American Eagle is the regional airline brand for American Airlines, operating shorter domestic and nearby international flights through a network of affiliated carriers.
-
D.
Old Navy
Old Navy is an American clothing and accessories retail chain known for offering affordable, family-oriented casual apparel.
-
E.
Aéropostale
Aéropostale was a pioneering French airmail airline that operated early long-distance routes, particularly between Europe and South America, in the first half of the 20th century.
- 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_69c687ed8a9c81908bb671717cb192ef |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af5b21348190b7f09045e9ec7d63 |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbde37288190b1e65589aa09b676 |
completed | March 27, 2026, 6:26 p.m. |
Created at: March 27, 2026, 1:58 p.m.