Triple
T31712640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CCAir |
E809367
|
entity |
| Predicate | parentCarrierRelationship |
P189351
|
FINISHED |
| Object | regional affiliate of US Airways |
—
|
LITERAL 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: regional affiliate of US Airways | Statement: [CCAir, parentCarrierRelationship, regional affiliate of US Airways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parentCarrierRelationship Context triple: [CCAir, parentCarrierRelationship, regional affiliate of US Airways]
-
A.
parentRelationship
Indicates a familial relationship in which one entity is the parent of another entity.
-
B.
fareRelationship
Indicates a relationship between entities based on the cost, pricing, or fare charged for a service or trip.
-
C.
fareControlRelationship
Indicates a relationship where one entity manages, enforces, or oversees the collection, validation, or regulation of fares for another entity or system.
-
D.
intendedCarrier
Indicates that one entity is designated or planned to serve as the carrier or transporter of another entity.
-
E.
referralRelationship
Indicates a relationship in which one entity directs or recommends another entity to a third party for services, information, or further action.
- F. None of above. chosen
Provenance (4 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fbbc49da8c8190902bbb05d2477cab |
completed | May 6, 2026, 10:10 p.m. |
| PD | Predicate disambiguation | batch_69fbb13f34b08190bbbb220ac1e6e666 |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbbc48b75c8190bec27dd4b7de797f |
completed | May 6, 2026, 10:10 p.m. |
Created at: April 30, 2026, 11:16 p.m.