Triple
T20305246
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shuttle America |
E505592
|
entity |
| Predicate | operatedAs |
P4445
|
FINISHED |
| Object | United Express |
—
|
NE NERFINISHED |
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: United Express | Statement: [Shuttle America, operatedAs, United Express]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: United Express Context triple: [Shuttle America, operatedAs, United Express]
-
A.
United Express
chosen
United Express is the regional brand for United Airlines, operating shorter-haul feeder flights to connect passengers to United’s mainline network.
-
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.
Airlink Express
Airlink Express is a former dedicated airport bus service that connected Dublin Airport with central Dublin, operated by the city’s public transport company Dublin Bus.
-
D.
Travelers Express
Travelers Express was a financial services company that evolved into or was a predecessor of MoneyGram, helping establish its global money transfer business.
-
E.
Shuttle America
Shuttle America was a U.S. regional airline that operated feeder flights for major carriers under various brand agreements before ceasing operations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773f8f688190b616f972b9bbb28e |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:18 a.m.