Triple

T27260289
Position Surface form Disambiguated ID Type / Status
Subject Thomas Mason E687742 entity
Predicate patternRange P162530 FINISHED
Object checks 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: checks | Statement: [Thomas Mason, patternRange, checks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: patternRange
Context triple: [Thomas Mason, patternRange, checks]
  • A. patternRange chosen
    Indicates a relationship where a pattern applies or is valid only within a specified range or interval of values or positions.
  • B. rangeOf
    Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
  • C. testRange
    Indicates that a value, condition, or behavior is being evaluated to determine whether it falls within a specified range or interval.
  • D. partOfRange
    Indicates that one entity is included within, or constitutes a segment of, the overall extent or span defined by another entity.
  • E. hasRange
    Indicates that a property or relation is constrained to take its values from a specified class, type, or value set.
  • 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_69ef3557abc481908bf3c146f0f3356a completed April 27, 2026, 10:07 a.m.
NER Named-entity recognition batch_69f62cd2ceb481908cd9fae52a542206 completed May 2, 2026, 4:56 p.m.
PD Predicate disambiguation batch_69f62c1762f881908c25e8f70ecd5041 completed May 2, 2026, 4:53 p.m.
Created at: April 27, 2026, 10:52 a.m.