Triple
T22971240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beagle |
E571190
|
entity |
| Predicate | subjectAircraftHistoricalUse |
P27581
|
FINISHED |
| Object | Cold War-era bomber 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: Cold War-era bomber operations | Statement: [Beagle, subjectAircraftHistoricalUse, Cold War-era bomber operations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: subjectAircraftHistoricalUse Context triple: [Beagle, subjectAircraftHistoricalUse, Cold War-era bomber operations]
-
A.
historicalAircraftOperated
chosen
Indicates that an entity previously operated a specific aircraft model during a past period, but no longer does so.
-
B.
formerAircraft
Indicates that an entity was previously used or designated as an aircraft but no longer holds that status.
-
C.
aircraftTypesUsedOn
Indicates the types or models of aircraft that are used on or assigned to a particular route, service, operation, or context.
-
D.
aviationUsage
Indicates that something is used for, involved in, or associated with aviation-related activities or purposes.
-
E.
notableAircraftUsed
Indicates that an entity is known for using, operating, or being associated with a particular aircraft in a notable or significant way.
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1823370fc819084a13d6e4eb6e44e |
completed | April 29, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
Created at: April 17, 2026, 3:48 p.m.