Triple
T33095335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flagon |
E846892
|
entity |
| Predicate | subjectAircraftOriginCountry |
P68259
|
FINISHED |
| Object | USSR |
—
|
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: USSR | Statement: [Flagon, subjectAircraftOriginCountry, USSR]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectAircraftOriginCountry Context triple: [Flagon, subjectAircraftOriginCountry, USSR]
-
A.
aircraftOriginCountry
chosen
Indicates the country from which an aircraft originates, such as where it was built, registered, or primarily associated.
-
B.
usedAircraftOrigin
Indicates the place or source from which a used aircraft was originally obtained or came.
-
C.
takeoffCountryForRecordFlight
Indicates the country from which a particular record-setting flight departed.
-
D.
aircraftOriginIndustry
Indicates the industry or sector from which an aircraft originates or is produced.
-
E.
usedByAircraftRegisteredIn
Indicates that something (such as equipment, a system, or a facility) is utilized by aircraft that are registered in a specified jurisdiction or registry.
- 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_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: May 1, 2026, 1:26 a.m.