Triple
T30923669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trans States Airlines |
E787796
|
entity |
| Predicate | employeeRole |
P44925
|
FINISHED |
| Object | provided pilot jobs for regional airline career paths |
—
|
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: provided pilot jobs for regional airline career paths | Statement: [Trans States Airlines, employeeRole, provided pilot jobs for regional airline career paths]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: employeeRole Context triple: [Trans States Airlines, employeeRole, provided pilot jobs for regional airline career paths]
-
A.
employedRole
chosen
Indicates that an entity holds or performs a specific role or position within an employment or work context.
-
B.
managementRole
Indicates that one entity holds a managerial or supervisory role with authority and responsibility over another entity.
-
C.
sectorEmploymentRole
Indicates the specific role or function an entity holds within a particular employment sector or industry.
-
D.
profileRole
Indicates the specific role or function an entity holds within a given profile or contextual configuration.
-
E.
roleInPersonnelMatters
Indicates that one entity has a specific function, authority, or involvement in managing or deciding personnel-related matters concerning another entity.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 29, 2026, 8:51 p.m.