Triple

T12205764
Position Surface form Disambiguated ID Type / Status
Subject NRX reactor accident of 1952 E290831 entity
Predicate reactorModerator P54126 FINISHED
Object heavy water 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: heavy water | Statement: [NRX reactor accident of 1952, reactorModerator, heavy water]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: reactorModerator
Context triple: [NRX reactor accident of 1952, reactorModerator, heavy water]
  • A. moderator
    Indicates that one entity serves as a moderator for another entity, overseeing, managing, or facilitating its activities, interactions, or content.
  • B. reactor
    Indicates a relationship where an entity functions as or is associated with a nuclear or chemical reactor system.
  • C. usesModerator chosen
    Indicates that an entity employs or relies on a moderator to oversee, regulate, or manage its interactions or processes.
  • D. moderation
    Indicates that an entity exercises restraint, balance, or avoidance of extremes in its actions, behavior, or use of resources.
  • E. reactorType
    Indicates the specific kind or category of reactor associated with an entity.
  • 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_69d6ab65923081909acfc61b7a612233 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d920e312708190b4aede2e21f5f697 completed April 10, 2026, 4:10 p.m.
PD Predicate disambiguation batch_69d91c3d669c81908eea7ad61122d275 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:51 p.m.