Triple
T33095210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farmer |
E846889
|
entity |
| Predicate | associatedMilitaryBranchOfDesignatedAircraft |
P206349
|
FINISHED |
| Object | Soviet Air Forces |
E10609
|
NE 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: Soviet Air Forces | Statement: [Farmer, associatedMilitaryBranchOfDesignatedAircraft, Soviet Air Forces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedMilitaryBranchOfDesignatedAircraft Context triple: [Farmer, associatedMilitaryBranchOfDesignatedAircraft, Soviet Air Forces]
-
A.
associatedWithAircraftDesignation
Indicates a relationship where something is linked to, identified by, or characterized through a specific aircraft designation.
-
B.
appliedToAircraftDesignedBy
Indicates that something (such as a component, system, or regulation) is applied to an aircraft that was designed by a specified designer or organization.
-
C.
relatesToAircraft
Indicates a general relationship or association between an entity and an aircraft, without specifying the exact nature of that connection.
-
D.
isMilitaryAircraft
Indicates that the subject aircraft is designed, used, or designated for military purposes rather than civilian use.
-
E.
associatedWithAircraftManufacturer
Indicates that an entity has a relationship or connection with a specific aircraft manufacturer, such as collaboration, production, ownership, or other formal association.
- F. None of above. chosen
Provenance (5 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_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a34f02b316481909ba457919ef0d8c7 |
completed | June 19, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_6a0379f338b881908e5593e45d764f4d |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7fb9f88190b384b1b68200aef0 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:26 a.m.