Triple
T17970396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jersey European Airways |
E449321
|
entity |
| Predicate | IATAMembershipStatus |
P18012
|
FINISHED |
| Object | IATA member 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: IATA member airline | Statement: [Jersey European Airways, IATAMembershipStatus, IATA member airline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IATAMembershipStatus Context triple: [Jersey European Airways, IATAMembershipStatus, IATA member airline]
-
A.
membershipStatus
chosen
Indicates the current state or level of an entity’s participation or affiliation within a group, organization, or program.
-
B.
NASLMembershipStatus
Indicates the membership status of an entity within the NASL organization, such as whether they are currently a member, former member, or non-member.
-
C.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
D.
NATOMembershipSupport
Indicates support for a country’s membership or continued participation in the NATO alliance.
-
E.
associationStatus
Indicates the current state or condition of an established association or relationship between entities.
- F. None of above.
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_69d8b9f9927c8190a006110c8b996e61 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b1fa67c48190936f20cea45e4599 |
completed | April 19, 2026, 10:44 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:22 a.m.