Triple
T10343579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vickers Valiant |
E243684
|
entity |
| Predicate | firstVbomberInService |
P93794
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Vickers Valiant, firstVbomberInService, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstVbomberInService Context triple: [Vickers Valiant, firstVbomberInService, true]
-
A.
firstGeneratorCommissioned
Indicates that the first generator in a system or facility has been officially put into operation or brought online.
-
B.
firstDeployedIn
Indicates the time or place where something (such as a system, product, or technology) was initially put into operational use or service.
-
C.
firstDeployedFor
Indicates that an entity was initially deployed or put into operational use specifically for another entity (such as a project, mission, or organization).
-
D.
firstJetAirlinerInServiceFor
Indicates that the subject is the first jet airliner ever to enter commercial service for the specified operator or context.
-
E.
firstDeployed
Indicates the time or event when something (such as a system, product, or resource) was initially put into active use or operation.
- 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_69d381b22b8c8190aaed476be5f872a9 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e92105888190a08104deb9d0cf1c |
completed | April 7, 2026, 11:23 a.m. |
| PD | Predicate disambiguation | batch_69d4df9dc3208190bf1bd106f44f6202 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e91ce2008190af252c140370b7f2 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 11:55 a.m.