Triple
T4421708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FRENCH SUN |
E95112
|
entity |
| Predicate | IATAAirlineCodeOfOperator |
P418
|
FINISHED |
| Object | TO |
—
|
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: TO | Statement: [FRENCH SUN, IATAAirlineCodeOfOperator, TO]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: IATAAirlineCodeOfOperator Context triple: [FRENCH SUN, IATAAirlineCodeOfOperator, TO]
-
A.
aircraftOperator
Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
-
B.
belongsToAirportOperator
Indicates that an airport or related facility is owned, managed, or operated by a specific airport operating organization.
-
C.
associatedAirlineICAOCode
Indicates the ICAO airline code that is linked to or used by the given entity (such as a flight, route, or service).
-
D.
operatedForAirline
Indicates that an aircraft or flight was operated on behalf of, or under the branding of, a particular airline.
-
E.
IATAcode
chosen
Indicates the three-letter IATA airport or airline code assigned to the 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_69b3453a36908190b95a79a297ca083c |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3554a0e7c8190b704d00d07b1857d |
completed | March 13, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:30 p.m.