Triple
T3873061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SDF |
E92431
|
entity |
| Predicate | isHubFor |
P423
|
FINISHED |
| Object | UPS Airlines |
E87866
|
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: UPS Airlines | Statement: [SDF, isHubFor, UPS Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UPS Airlines Context triple: [SDF, isHubFor, UPS Airlines]
-
A.
UPS Airlines
chosen
UPS Airlines is a major American cargo airline and the air freight division of United Parcel Service, operating a global network of package and logistics flights.
-
B.
United Express
United Express is the regional brand for United Airlines, operating shorter-haul feeder flights to connect passengers to United’s mainline network.
-
C.
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.
-
D.
UTAIR
UTAIR is a Russian airline that operates domestic and international passenger and cargo flights, with a significant presence in regional and helicopter services.
-
E.
Porter Airlines
Porter Airlines is a Canadian regional airline known for its short-haul flights, premium-feel service, and primary operations from downtown Toronto.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec581adc81909219e6f025fc97c2 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c83512c81908db2e442b7d2aca0 |
completed | March 14, 2026, 8:29 a.m. |
Created at: March 9, 2026, 3:20 p.m.