Triple

T4057362
Position Surface form Disambiguated ID Type / Status
Subject MCIA E84725 entity
Predicate producesProduct P490 FINISHED
Object intelligence assessments 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: intelligence assessments | Statement: [MCIA, producesProduct, intelligence assessments]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: producesProduct
Context triple: [MCIA, producesProduct, intelligence assessments]
  • A. produces chosen
    Indicates that one entity creates, generates, or yields another entity as a result or output.
  • B. producesFor
    Indicates that one entity creates, manufactures, or generates something specifically intended for another entity’s use, benefit, or distribution.
  • C. productionBy
    Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
  • D. producerOfWork
    Indicates that one entity is the creator or originator responsible for producing a particular work.
  • E. helpsProduce
    Indicates that one entity contributes to or facilitates the creation, generation, or production of another 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbaefcb081908aab3963dcd61a20 completed March 9, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69aef90249e4819095e9e043bc4aa9a6 completed March 9, 2026, 4:44 p.m.
Created at: March 9, 2026, 3:38 p.m.