Triple
T20688149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Lakes Airlines |
E508476
|
entity |
| Predicate | operatingCertificateStatus |
P17256
|
FINISHED |
| Object | suspended 2018 |
—
|
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: suspended 2018 | Statement: [Great Lakes Airlines, operatingCertificateStatus, suspended 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatingCertificateStatus Context triple: [Great Lakes Airlines, operatingCertificateStatus, suspended 2018]
-
A.
certificateStatus
Indicates the current validity or state (e.g., valid, expired, revoked) of a certificate within a given system or context.
-
B.
airOperatorCertificateStatus
chosen
Indicates the current regulatory approval state of an air operator’s certificate authorizing it to conduct aviation operations.
-
C.
operatingStatus
Indicates whether an entity is currently functioning, active, or in service versus inactive, closed, or out of service.
-
D.
certificateIssued
Indicates that an official certificate has been formally created and granted by an issuing authority to a recipient or for a specific subject.
-
E.
certificateType
Indicates the specific kind or category of certificate associated with an entity or relationship.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6beaddfe88190897b8963fa8b2245 |
completed | April 21, 2026, 12:02 a.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:45 a.m.