Triple
T33095328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flagon |
E846892
|
entity |
| Predicate | subjectAircraftManufacturer |
P95766
|
FINISHED |
| Object | Sukhoi Design Bureau |
—
|
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: Sukhoi Design Bureau | Statement: [Flagon, subjectAircraftManufacturer, Sukhoi Design Bureau]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectAircraftManufacturer Context triple: [Flagon, subjectAircraftManufacturer, Sukhoi Design Bureau]
-
A.
intendedAircraftManufacturer
Indicates that one entity is the manufacturer for which an aircraft (or aircraft model) is designed or planned, rather than necessarily the one that ultimately builds it.
-
B.
aircraftManufacturerOfAircraft
chosen
Indicates that a given manufacturer is the producer or builder of a specified aircraft.
-
C.
associatedWithAircraftManufacturer
Indicates that an entity has a relationship or connection with a specific aircraft manufacturer, such as collaboration, production, ownership, or other formal association.
-
D.
aircraftManufacturerAtField
Indicates that an aircraft manufacturer operates or is located at a particular airfield or airport.
-
E.
wingManufacturer
Indicates that one entity is the manufacturer or producer of the wing component used by 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_69f3495590dc8190aa04f3dec74ce976 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 1, 2026, 1:26 a.m.