Triple

T34757916
Position Surface form Disambiguated ID Type / Status
Subject New York State education aid E1001978 entity
Predicate allocationDependsOn P181582 FINISHED
Object statutory formulas 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: statutory formulas | Statement: [New York State education aid, allocationDependsOn, statutory formulas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: allocationDependsOn
Context triple: [New York State education aid, allocationDependsOn, statutory formulas]
  • A. allocation
    Indicates the distribution or assignment of resources, responsibilities, or items among entities according to some rule or plan.
  • B. roleDependsOn
    Indicates that the existence, behavior, or permissions of one role are contingent upon or derived from another role.
  • C. positionDependsOn
    Indicates that the spatial or ordered position of one entity is determined or constrained by the position of another entity.
  • D. allocationAuthority
    Indicates that an entity has the power or right to decide how resources, tasks, or responsibilities are distributed among others.
  • E. allocationShare
    Indicates the proportion or portion of a total resource, amount, or benefit that is assigned to a particular entity within an allocation.
  • F. None of above. chosen

Provenance (4 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_69f76db0fb30819096709d43f9a1f45f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69f77ffa6b68819090257fed3802c239 completed May 3, 2026, 5:03 p.m.
PD Predicate disambiguation batch_69f7795978c481909e152cd1bd02dd07 completed May 3, 2026, 4:35 p.m.
PDg Predicate description generation batch_69f77ff804f08190b431a31e6179ace4 completed May 3, 2026, 5:03 p.m.
Created at: May 3, 2026, 3:59 p.m.