Triple
T649681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Defensive Aids Sub-System |
E11317
|
entity |
| Predicate | supportsMissionType |
P17730
|
FINISHED |
| Object | air superiority missions |
—
|
LITERAL 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: air superiority missions | Statement: [Defensive Aids Sub-System, supportsMissionType, air superiority missions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsMissionType Context triple: [Defensive Aids Sub-System, supportsMissionType, air superiority missions]
-
A.
supportsFeature
Indicates that one entity provides, enables, or is compatible with a particular feature or capability of another.
-
B.
supportsVentureType
Indicates that an entity provides backing, resources, or compatibility for a specified type or category of venture.
-
C.
isSupportedBy
Indicates that an entity is upheld, sustained, or enabled by another entity, which provides necessary assistance, resources, or justification.
-
D.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
-
E.
supportsProjectType
Indicates that one entity is capable of handling, accommodating, or being compatible with a specified type of project.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f31e70c81909a2ac1d939f7ec07 |
completed | March 1, 2026, 8:18 p.m. |
| PD | Predicate disambiguation | batch_69a49d0eade081909c47e85ed55f808d |
completed | March 1, 2026, 8:09 p.m. |
| PDg | Predicate description generation | batch_69a49df0de3c81909721eb391ec94031 |
completed | March 1, 2026, 8:13 p.m. |
Created at: March 1, 2026, 7:36 p.m.