Triple
T4949395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aircraft Manufacturing Company |
E111130
|
entity |
| Predicate | aircraftUse |
P7787
|
FINISHED |
| Object | combat operations |
—
|
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: combat operations | Statement: [Aircraft Manufacturing Company, aircraftUse, combat operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aircraftUse Context triple: [Aircraft Manufacturing Company, aircraftUse, combat operations]
-
A.
aviationUsage
chosen
Indicates that something is used for, involved in, or associated with aviation-related activities or purposes.
-
B.
aircraft
Indicates that an entity is an aircraft or functions in the role of an aircraft in the described context.
-
C.
usedInAviation
Indicates that something is employed or applied within the field or context of aviation.
-
D.
usedByAircraftType
Indicates that something (such as equipment, infrastructure, or a procedure) is employed or operated by a specific type or category of aircraft.
-
E.
usedOnAircraftName
Indicates that something is employed or applied on an aircraft identified by a specific name.
- 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_69bd441721cc819085c7e33fe0876818 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd7166bb6c8190a40775ac8bb723a8 |
completed | March 20, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3aa1388190b3e0c8ee1ba1e4fa |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.