Triple
T27769733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SouthJet Airlines |
E701708
|
entity |
| Predicate | operatesFictionalFlight |
P196143
|
FINISHED |
| Object | SouthJet Flight 227 |
—
|
NE NERFINISHED |
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: SouthJet Flight 227 | Statement: [SouthJet Airlines, operatesFictionalFlight, SouthJet Flight 227]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesFictionalFlight Context triple: [SouthJet Airlines, operatesFictionalFlight, SouthJet Flight 227]
-
A.
operatedFlight
Indicates that an airline or carrier actually operated a specific flight.
-
B.
operatesAtPlane
Indicates that an action or process is carried out or functions at a specific plane or planar level.
-
C.
operatesAircraftFor
Indicates that one entity pilots or controls an aircraft on behalf of, or in service to, another entity.
-
D.
usesFictionalAircraftType
Indicates that an entity makes use of, operates, or features a type of aircraft that is fictional rather than real.
-
E.
officiallyFlownOn
Indicates that something has been formally carried or transported aboard a specific flight or aircraft under official or authorized status.
- F. None of above. chosen
Provenance (4 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_69ef6a52fa708190934a32308d2c92dc |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69fe0d165a48819098b854318a50d76c |
completed | May 8, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69fe0931002481908a95b34f95e9f64e |
completed | May 8, 2026, 4:02 p.m. |
| PDg | Predicate description generation | batch_69fe0d14778c8190986fa4f37f992a2f |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 27, 2026, 4:34 p.m.