Triple

T20069212
Position Surface form Disambiguated ID Type / Status
Subject dependency grammar E499688 entity
Predicate canAllow P74042 FINISHED
Object multiple dependents per head 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: multiple dependents per head | Statement: [dependency grammar, canAllow, multiple dependents per head]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: canAllow
Context triple: [dependency grammar, canAllow, multiple dependents per head]
  • A. canAuthorize
    Indicates that one entity has the power or permission to grant approval or official permission for another entity to perform an action or access a resource.
  • B. canPass
    Indicates that one entity is able or permitted to move through, cross, or successfully traverse another entity or barrier.
  • C. canEnforce
    Indicates that one entity has the authority or capability to compel compliance with rules, decisions, or obligations upon another entity.
  • D. mayGrant chosen
    Indicates that one entity has the authority or permission to confer, assign, or bestow a right, privilege, or resource to another entity.
  • E. canEnable
    Indicates that one entity has the capability or authority to activate, turn on, or make another entity or function operational.
  • 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664365ad0819089103b00d1cf8c9f completed April 20, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69e54cee7a5c819084ae4ff26419833f completed April 19, 2026, 9:45 p.m.
Created at: April 11, 2026, 3:39 p.m.