Triple
T6489493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic Airways |
E147997
|
entity |
| Predicate | operatesScheduledService |
P5884
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Republic Airways, operatesScheduledService, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesScheduledService Context triple: [Republic Airways, operatesScheduledService, yes]
-
A.
operatesService
chosen
Indicates that an agent runs, manages, or provides a particular service.
-
B.
operatesServiceTo
Indicates that one entity runs or provides a transportation or service route to another entity or location.
-
C.
scheduledServiceType
Indicates the type or category of service that has been scheduled between entities (e.g., maintenance, appointment, or delivery).
-
D.
plannedService
Indicates that a service is scheduled or intended to be provided, but has not yet occurred.
-
E.
typicalOperatorService
Indicates that an entity commonly performs or provides a particular operational service in a standard or expected manner.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a9926fc81909db0f390e385e97d |
completed | March 22, 2026, 10:18 p.m. |
| PD | Predicate disambiguation | batch_69c06740bebc81909d9d6956baa2bcb9 |
completed | March 22, 2026, 10:03 p.m. |
Created at: March 22, 2026, 4:52 p.m.