Triple
T34204921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mirage IV |
E877487
|
entity |
| Predicate | firstNuclearDeterrentAircraftOf |
P205363
|
FINISHED |
| Object | France |
E861
|
NE 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: France | Statement: [Mirage IV, firstNuclearDeterrentAircraftOf, France]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstNuclearDeterrentAircraftOf Context triple: [Mirage IV, firstNuclearDeterrentAircraftOf, France]
-
A.
subjectAircraftFirstGenerationJetBomber
Indicates that the subject aircraft is classified as a first-generation jet-powered bomber.
-
B.
successorNuclearDeterrentPlatform
Indicates that one platform serves as the follow-on or replacement nuclear deterrent platform to another.
-
C.
firstAircraftName
Indicates the name assigned to the first aircraft associated with a given entity or context.
-
D.
firstSupersonicAircraftPowered
Indicates that the subject is the first aircraft to achieve supersonic flight using the specified power source or propulsion system.
-
E.
nuclearWarheadCarrier
Indicates that an entity is designed or used to carry, transport, or deliver nuclear warheads.
- F. None of above. chosen
Provenance (5 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_69f349aff5f0819096275315abea5344 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36cc786aa48190a26778d276a34fcd |
completed | June 20, 2026, 5:23 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:55 a.m.