Triple

T2391003
Position Surface form Disambiguated ID Type / Status
Subject Hylton E48941 entity
Predicate hasOpposingParty P15297 FINISHED
Object Ware E47937 NE FINISHED

How this triple was built (3 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: Ware | Statement: [Hylton, hasOpposingParty, Ware]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ware
Context triple: [Hylton, hasOpposingParty, Ware]
  • A. Ware chosen
    Ware was the plaintiff in the landmark U.S. Supreme Court case Ware v. Hylton, which addressed the supremacy of federal treaties over conflicting state laws.
  • B. Ware
    Ware is a historic market town in Hertfordshire, England, known for its riverside setting on the River Lea and its long-standing role as a local commercial and coaching center.
  • C. WD
    WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
  • D. EA
    EA is the commonly used abbreviation for the Environment Agency, the public body responsible for environmental protection and regulation in England.
  • E. WHD
    WHD is the U.S. Department of Labor’s Wage and Hour Division, the federal agency responsible for enforcing minimum wage, overtime pay, child labor, and other key labor standards.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOpposingParty
Context triple: [Hylton, hasOpposingParty, Ware]
  • A. hasOppositionParties
    Indicates that an entity (typically a government or ruling body) has one or more political parties that formally oppose or challenge its policies or authority.
  • B. hasMainOpposition
    Indicates that one entity serves as the primary opposing force, rival, or counterparty to another entity.
  • C. opposesPartyType
    Indicates that one party or entity is in opposition to, or acts against the interests or positions of, a particular type or category of party.
  • D. hasMajorParties
    Indicates that an entity is associated with its primary participating parties or main involved groups.
  • E. rivalParty chosen
    Indicates that one party is in competition or opposition with another party, often pursuing conflicting goals or interests.
  • F. None of above.

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_69a88aa5f63081908d07fd302029fcbd completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc87457388190822d5506327db8f2 completed March 7, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3d4f0608190bcc77a67fa85b963 completed March 9, 2026, 11:49 a.m.
PD Predicate disambiguation batch_69abc5a1b5748190b4cd8989700f4dd2 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:57 p.m.