Triple

T17899696
Position Surface form Disambiguated ID Type / Status
Subject Town of Farmersville, New York E447535 entity
Predicate subjectToStateLaw P103536 FINISHED
Object laws of the State of New York 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: laws of the State of New York | Statement: [Town of Farmersville, New York, subjectToStateLaw, laws of the State of New York]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: subjectToStateLaw
Context triple: [Town of Farmersville, New York, subjectToStateLaw, laws of the State of New York]
  • A. stateLawAppliesFrom
    Indicates that a particular state law becomes applicable starting from a specified point in time or under certain conditions.
  • B. stateLawAtIssue
    Indicates that a particular state law is the subject of dispute, analysis, or determination in a given legal context or case.
  • C. stateOfLaw
    Indicates that a specified legal condition, rule, or status is currently in force or applicable within a given jurisdiction or context.
  • D. stateLawRepresentedBy
    Indicates that a particular state law is formally represented or advocated by a specified legal document, body, or representative entity.
  • E. relationshipToStateLaw chosen
    Indicates how something is connected or subject to the provisions, requirements, or authority of a particular state law.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49d81e00881908a46305af66fdf1a completed April 19, 2026, 9:16 a.m.
PD Predicate disambiguation batch_69e3d8e9b77c8190bbfb508f28dfacfa completed April 18, 2026, 7:18 p.m.
Created at: April 10, 2026, 10:19 a.m.