Triple
T33095205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farmer |
E846889
|
entity |
| Predicate | shortNameOfDesignatedAircraft |
P112364
|
FINISHED |
| Object | MiG-19 |
—
|
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: MiG-19 | Statement: [Farmer, shortNameOfDesignatedAircraft, MiG-19]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortNameOfDesignatedAircraft Context triple: [Farmer, shortNameOfDesignatedAircraft, MiG-19]
-
A.
aircraftNamedNATOCode
chosen
Indicates that an aircraft is designated or referred to by a specific NATO reporting name or code.
-
B.
aircraftTypeDesignationSystem
Indicates the classification or naming system used to designate the type of an aircraft.
-
C.
airframerDesignation
Indicates the specific model or designation assigned to an aircraft by its manufacturing airframer.
-
D.
aircraftDesignationPrefix
Indicates the standardized prefix used in an aircraft’s designation that conveys its type, role, or function.
-
E.
airlineFleetDesignation
Indicates the specific fleet or operational group within an airline to which an aircraft or service is assigned.
- 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_69f6f38159d08190980ad639e08f00f4 |
completed | May 3, 2026, 7:04 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d7bee48190b94e0beb48a1d7fa |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:26 a.m.