Triple

T25159731
Position Surface form Disambiguated ID Type / Status
Subject Command Records E626406 entity
Predicate productionEmphasis P156932 FINISHED
Object wide stereo imaging 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: wide stereo imaging | Statement: [Command Records, productionEmphasis, wide stereo imaging]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: productionEmphasis
Context triple: [Command Records, productionEmphasis, wide stereo imaging]
  • A. productionBasis
    Indicates the underlying method, principle, or criteria on which something is produced or manufactured.
  • B. productionCategory
    Indicates the classification or type of production process, output, or activity that an entity is associated with.
  • C. productionBy
    Indicates that something is created, manufactured, or generated by a particular agent, organization, or process.
  • D. productionValues chosen
    Indicates the overall quality, style, and technical characteristics applied in creating or presenting something (such as a media work or event).
  • E. productionBase
    Indicates a relationship where one entity serves as the primary site, facility, or foundation used for producing or manufacturing something for 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_69e2ff2834ec8190b0872e2ec3d76023 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f63fd6c68481908c542aa03e297b9c completed May 2, 2026, 6:17 p.m.
PD Predicate disambiguation batch_69f63c6456608190b94e7c2e2c2a4824 completed May 2, 2026, 6:03 p.m.
Created at: April 18, 2026, 6:31 a.m.