Triple

T32073459
Position Surface form Disambiguated ID Type / Status
Subject Force de frappe E819077 entity
Predicate airBasedComponent P41564 FINISHED
Object Forces aériennes stratégiques
Forces aériennes stratégiques is the French Air and Space Force’s strategic aviation command responsible for operating France’s airborne nuclear deterrent.
 E1991608 NE FINISHED

How this triple was built (3 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: Forces aériennes stratégiques | Statement: [Force de frappe, airBasedComponent, Forces aériennes stratégiques]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Forces aériennes stratégiques
Triple: [Force de frappe, airBasedComponent, Forces aériennes stratégiques]
Generated description
Forces aériennes stratégiques is the French Air and Space Force’s strategic aviation command responsible for operating France’s airborne nuclear deterrent.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: airBasedComponent
Context triple: [Force de frappe, airBasedComponent, Forces aériennes stratégiques]
  • A. airService
    Indicates that an air transportation service (such as flights or air routes) is provided or operates between the related entities.
  • B. airborneComponent
    Indicates that one entity is a component or part of another entity specifically when that other entity is in an airborne state.
  • C. airSupport
    Indicates that one entity provides aerial assistance or backing to another, typically through aircraft-based protection, transport, or attack.
  • D. airshipBase
    Indicates that one entity serves as the base, home, or primary operating location for an airship or group of airships.
  • E. hasAirComponent chosen
    Indicates that something includes, contains, or is associated with an air-related component or element.
  • F. None of above.

Provenance (6 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_69f348fecc088190af1470afe5a969f0 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b52a053c8190ae0898cb78b76688 completed May 3, 2026, 2:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2edde7555c81909e181aed708ad4fd completed June 14, 2026, 4:59 p.m.
NEDg Description generation batch_6a2ede8d1d748190ac4f0ed7ac37ba90 completed June 14, 2026, 5:02 p.m.
NED2 Entity disambiguation (via description) batch_6a2edf2f49048190869080a3d70f4434 completed June 14, 2026, 5:04 p.m.
PD Predicate disambiguation batch_69f6b154b3dc819087115f5f63f7b00f completed May 3, 2026, 2:22 a.m.
Created at: May 1, 2026, 12:23 a.m.