Triple
T31024823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxcart program |
E790540
|
entity |
| Predicate | aircraftAssociated |
P22331
|
FINISHED |
| Object | D-21 reconnaissance drone |
—
|
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: D-21 reconnaissance drone | Statement: [Oxcart program, aircraftAssociated, D-21 reconnaissance drone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftAssociated Context triple: [Oxcart program, aircraftAssociated, D-21 reconnaissance drone]
-
A.
relatedAircraft
chosen
Indicates that there is an association or connection between two aircraft, such as operational, functional, or contextual relatedness.
-
B.
associatedWithCarrierAircraft
Indicates a relationship where something is linked or connected to a carrier-based aircraft, such as being used by, transported on, or otherwise functionally related to it.
-
C.
aircraftMostAssociatedWith
Indicates the aircraft that is most strongly or commonly linked to, used by, or representative of a given entity compared to other aircraft.
-
D.
associatedWithMuseumAircraft
Indicates a relationship where an aircraft is connected to, displayed by, or otherwise part of a museum’s collection or exhibits.
-
E.
associatedWithAircraftModel
Indicates that something has a specified relationship or connection to a particular aircraft model.
- 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_69f224c811508190a7de096a5b1f5798 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 29, 2026, 8:58 p.m.