Triple
T25782385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KC-45A |
E649324
|
entity |
| Predicate | manufacturerPrime |
P159259
|
FINISHED |
| Object | Northrop Grumman |
—
|
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: Northrop Grumman | Statement: [KC-45A, manufacturerPrime, Northrop Grumman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: manufacturerPrime Context triple: [KC-45A, manufacturerPrime, Northrop Grumman]
-
A.
manufacturerPromoted
Indicates that a manufacturer has actively advertised, endorsed, or otherwise promoted a product, service, or entity.
-
B.
manufacturerType
Indicates the classification or category of a manufacturer based on its role, characteristics, or production type.
-
C.
manufacturerStatus
Indicates the current operational or business condition of a manufacturer in relation to the product or agreement in question.
-
D.
usedManufacturer
Indicates that an entity has employed or sourced products, components, or services from a particular manufacturer.
-
E.
formerManufacturer
Indicates that an entity previously manufactured another entity but no longer does so.
- F. None of above. chosen
Provenance (4 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_69e7ab33e9308190afe415dc6f9e8876 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f5fe6175048190afd845628c74830e |
completed | May 2, 2026, 1:38 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
| PDg | Predicate description generation | batch_69f497b8abb88190bb672cf6907c4b8d |
completed | May 1, 2026, 12:08 p.m. |
Created at: April 22, 2026, 5:51 a.m.