Triple

T27239738
Position Surface form Disambiguated ID Type / Status
Subject Fiat G.91 E687169 entity
Predicate NATOCompetition P72828 FINISHED
Object NATO NBMR-1
NATO NBMR-1 was a Cold War-era NATO specification and competition for a lightweight tactical strike and reconnaissance aircraft, which led to the selection of the Fiat G.91 as the winning design.
E1765302 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: NATO NBMR-1 | Statement: [Fiat G.91, NATOCompetition, NATO NBMR-1]
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: NATO NBMR-1
Triple: [Fiat G.91, NATOCompetition, NATO NBMR-1]
Generated description
NATO NBMR-1 was a Cold War-era NATO specification and competition for a lightweight tactical strike and reconnaissance aircraft, which led to the selection of the Fiat G.91 as the winning design.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: NATOCompetition
Context triple: [Fiat G.91, NATOCompetition, NATO NBMR-1]
  • A. NATOcode
    Indicates that there is a specified NATO (North Atlantic Treaty Organization) code assigned to or associated with an entity.
  • B. NATOCategory chosen
    Indicates that an entity is classified according to a specific NATO-defined category or designation.
  • C. associatedWithNATO
    Indicates a relationship in which an entity has a formal or recognized connection, affiliation, or involvement with NATO.
  • D. warPower
    Indicates the authority, capability, or legal power to initiate, conduct, or manage acts of war or armed conflict.
  • E. hasNATOContext
    Indicates that something is related to, influenced by, or situated within the context of NATO, its activities, policies, or structures.
  • 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_69ef355547408190b5ca0d777c65040a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f6267c112c8190986426190320e1ac completed May 2, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1262773dac8190bb4113ab4e9b3f82 completed May 24, 2026, 2:29 a.m.
NEDg Description generation batch_6a127060700481909293fb3b925cb760 completed May 24, 2026, 3:28 a.m.
NED2 Entity disambiguation (via description) batch_6a1270ddaf54819094cd9645435c8b6b completed May 24, 2026, 3:30 a.m.
PD Predicate disambiguation batch_69f620e38aec8190bb184edcdbd6da64 completed May 2, 2026, 4:05 p.m.
Created at: April 27, 2026, 10:36 a.m.