Triple
T17970397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jersey European Airways |
E449321
|
entity |
| Predicate | ICAOMembershipStatus |
P18012
|
FINISHED |
| Object | ICAO 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: ICAO member airline | Statement: [Jersey European Airways, ICAOMembershipStatus, ICAO member airline]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ICAOMembershipStatus Context triple: [Jersey European Airways, ICAOMembershipStatus, ICAO member airline]
-
A.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
B.
membershipAsOf
Indicates that one entity is a member of another entity or group at a specific point in time or as of a given date.
-
C.
membershipStatus
chosen
Indicates the current state or level of an entity’s participation or affiliation within a group, organization, or program.
-
D.
membershipBy
Indicates that one entity holds membership or belongs to a group, organization, or collection defined by another entity.
-
E.
clubMembership
Indicates that an entity belongs to, is enrolled in, or holds membership status within a particular club.
- 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.