Triple

T33401011
Position Surface form Disambiguated ID Type / Status
Subject Iran E855296 entity
Predicate hasNuclearProgram P17998 FINISHED
Object yes 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: yes | Statement: [Iran, hasNuclearProgram, yes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNuclearProgram
Context triple: [Iran, hasNuclearProgram, yes]
  • A. hasNuclearWeapons
    Indicates that the subject possesses or controls nuclear weapons.
  • B. hasNuclearRole
    Indicates that an entity participates in, is responsible for, or holds authority related to nuclear activities, functions, or capabilities.
  • C. nuclearWeaponsProgram chosen
    Indicates the existence, development, or pursuit of a program related to the research, production, or maintenance of nuclear weapons.
  • D. countryNuclearProgram
    Indicates that a country possesses, develops, or maintains a nuclear weapons or nuclear energy program.
  • E. hasNuclearActivity
    Indicates that an entity engages in, is involved with, or possesses capabilities related to nuclear activities or operations.
  • 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_69f3496e3f1c8190bcecfa82aa9d17ff completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69fe6739d4dc8190ae7505c089bbac29 completed May 8, 2026, 10:44 p.m.
PD Predicate disambiguation batch_69fe6541dffc81909c66a61ba69f38fc completed May 8, 2026, 10:35 p.m.
Created at: May 1, 2026, 1:35 a.m.