Triple

T26870566
Position Surface form Disambiguated ID Type / Status
Subject Fairfield Sentry E676598 entity
Predicate legalProceedingsVenue P50130 FINISHED
Object New York courts NE NERFINISHED

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: New York courts | Statement: [Fairfield Sentry, legalProceedingsVenue, New York courts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: legalProceedingsVenue
Context triple: [Fairfield Sentry, legalProceedingsVenue, New York courts]
  • A. courtLocation chosen
    Indicates the place or venue where a court proceeding or judicial action takes place.
  • B. courtLocationTraditionallyIdentifiedWith
    Indicates that a court’s location is customarily or historically recognized as being associated with a particular place, even if this identification is not formally or conclusively established.
  • C. courtBasedIn
    Indicates that a particular court is located or headquartered in a specified place or jurisdiction.
  • D. courtName
    Indicates the official name assigned to a particular court within a legal or judicial system.
  • E. courthouseLocatedIn
    Indicates that a courthouse is situated within or at a specific geographic or administrative location.
  • 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_69eee9ba94bc8190b44c5d4397d04ecd completed April 27, 2026, 4:44 a.m.
NER Named-entity recognition batch_69f78c61ed4c8190ad84c918fa9af55a completed May 3, 2026, 5:56 p.m.
PD Predicate disambiguation batch_69f78b8cb3a881909ebaac1b503988c2 completed May 3, 2026, 5:53 p.m.
Created at: April 27, 2026, 5:32 a.m.