Triple
T23901649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Juby |
E601060
|
entity |
| Predicate | notableAirmailOperator |
P154016
|
FINISHED |
| Object | Aéropostale |
—
|
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: Aéropostale | Statement: [Cape Juby, notableAirmailOperator, Aéropostale]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableAirmailOperator Context triple: [Cape Juby, notableAirmailOperator, Aéropostale]
-
A.
aircraftOperator
Indicates that one entity operates, manages, or is responsible for the use of a particular aircraft.
-
B.
airlineOperator
Indicates that one entity operates or manages airline services for another entity or in a specified context.
-
C.
primaryAircraftOperator
Indicates that one entity is the main organization or individual responsible for operating a particular aircraft.
-
D.
aircraftFirstCommercialOperator
Indicates the organization or entity that first operated the aircraft in commercial service.
-
E.
usedByAirlineAlsoKnownAs
Indicates that an item (such as a code, name, or identifier) is used by an airline that is also known by an alternative name.
- 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cdde91d081908df44442a20e0fd2 |
completed | April 29, 2026, 9:22 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:26 p.m.