Triple

T1975842
Position Surface form Disambiguated ID Type / Status
Subject CREST E42909 entity
Predicate handlesInstrumentType P12724 FINISHED
Object shares 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: shares | Statement: [CREST, handlesInstrumentType, shares]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: handlesInstrumentType
Context triple: [CREST, handlesInstrumentType, shares]
  • A. alsoAppliesInstrument
    Indicates that a condition, rule, or characteristic that applies to one instrument also applies to another instrument.
  • B. typeOfInstrument
    Indicates the specific kind or category of instrument associated with an entity.
  • C. supportsInstrument chosen
    Indicates that one entity provides assistance, resources, or functionality that enables another entity (the instrument) to operate or be used effectively.
  • D. typicalInstrumentation
    Indicates the usual or standard set of instruments commonly associated with performing or realizing something (such as a work, genre, or piece).
  • E. usesInstrument
    Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f835108190b0709ccf3a487a96 completed March 7, 2026, 5:13 a.m.
PD Predicate disambiguation batch_69abaff9a09c8190a81fa13f4b85bc79 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:36 p.m.