Triple

T7159145
Position Surface form Disambiguated ID Type / Status
Subject National Intelligence Estimates E166892 entity
Predicate topicExamples P7707 FINISHED
Object weapons of mass destruction programs 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: weapons of mass destruction programs | Statement: [National Intelligence Estimates, topicExamples, weapons of mass destruction programs]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: topicExamples
Context triple: [National Intelligence Estimates, topicExamples, weapons of mass destruction programs]
  • A. featuresTopic
    Indicates that something (such as a work, event, or item) prominently includes, focuses on, or is organized around a particular topic.
  • B. primaryTopicOf
    Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
  • C. frequentlyDiscussedIn
    Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
  • D. themeExamples chosen
    Indicates that the related entity serves as an example or illustration of the theme expressed by the subject.
  • E. categoryFocus
    Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other 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_69c68887a5cc8190bec0ea96227164f7 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e811d6b081909dafeee1d820c74f completed March 27, 2026, 8:26 p.m.
PD Predicate disambiguation batch_69c6e1cd5c948190a9113b23f7308c21 completed March 27, 2026, 8 p.m.
Created at: March 27, 2026, 2:47 p.m.