Triple
T1129079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Air |
E24785
|
entity |
| Predicate | airlineAllianceStatus |
P25293
|
FINISHED |
| Object | independent airline |
—
|
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: independent airline | Statement: [Cape Air, airlineAllianceStatus, independent airline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: airlineAllianceStatus Context triple: [Cape Air, airlineAllianceStatus, independent airline]
-
A.
airlineAllianceMembership
Indicates that an airline is a member of a specific airline alliance.
-
B.
servesAirlineAlliance
Indicates that an airline operates flights on behalf of, or under the branding of, a specific airline alliance.
-
C.
linkedAirlineCountry
Indicates that there is an association between an airline and a country, such as the country where the airline is based, registered, or primarily operates.
-
D.
allianceStatus
Indicates the formal or informal cooperative relationship between entities, such as whether they are allies, neutral, or adversarial.
-
E.
numberOfMemberAirlines
Indicates the total count of airlines that are members of a specified airline alliance or organization.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bc4bc21881909dcfe628f59f3e8c |
completed | March 1, 2026, 10:23 p.m. |
| PD | Predicate disambiguation | batch_69a4bb48de2081909a0dce005b1c9df1 |
completed | March 1, 2026, 10:18 p.m. |
| PDg | Predicate description generation | batch_69a4bc47fce48190825d3a877251f789 |
completed | March 1, 2026, 10:23 p.m. |
Created at: March 1, 2026, 7:44 p.m.