Triple
T25378699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JT3C |
E631322
|
entity |
| Predicate | militaryDesignationFor |
P28510
|
FINISHED |
| Object | Pratt & Whitney J57 |
—
|
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: Pratt & Whitney J57 | Statement: [JT3C, militaryDesignationFor, Pratt & Whitney J57]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryDesignationFor Context triple: [JT3C, militaryDesignationFor, Pratt & Whitney J57]
-
A.
hasMilitaryDesignation
chosen
Indicates that an entity is assigned a specific military-related code, title, or classification.
-
B.
airForceDesignation
Indicates that one entity is the official designation or code assigned to something by an air force.
-
C.
airForceDesignationUser
Indicates that an entity uses or is assigned a specific air force designation.
-
D.
usArmyDesignation
Indicates the specific designation or code assigned to something by the United States Army.
-
E.
isMilitaryAssetOf
Indicates that something functions as a military resource, equipment, or facility that belongs to, is controlled by, or is used by a particular 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_69e75a8c50788190aabaa9f96710fc43 |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f5ffc74fa481909b4fe24a9337f9eb |
completed | May 2, 2026, 1:44 p.m. |
| PD | Predicate disambiguation | batch_69f5f7f99dc08190afcfb3bc4dfbec1d |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 21, 2026, 1:46 p.m.