Triple

T241862
Position Surface form Disambiguated ID Type / Status
Subject John Kerry 2004 presidential campaign E4946 entity
Predicate positionOnHealthCare P9227 FINISHED
Object expansion of health insurance coverage 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: expansion of health insurance coverage | Statement: [John Kerry 2004 presidential campaign, positionOnHealthCare, expansion of health insurance coverage]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: positionOnHealthCare
Context triple: [John Kerry 2004 presidential campaign, positionOnHealthCare, expansion of health insurance coverage]
  • A. healthcareType
    Indicates the category or kind of healthcare service, system, or coverage associated with an entity.
  • B. coordinatesInternationalHealth
    Indicates organizing and aligning health-related activities, policies, or responses across multiple countries or international bodies.
  • C. providesCareSetting
    Indicates that one entity serves as the care environment or setting in which another entity receives or delivers care.
  • D. positionOn
    Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
  • E. positionInIndustry
    Indicates the role, rank, or standing that an entity holds within a particular industry or sector.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25d35aa288190966b6e15af1525cb completed Feb. 28, 2026, 3:12 a.m.
PD Predicate disambiguation batch_69a25b60ad308190b12f119960a8bde7 completed Feb. 28, 2026, 3:05 a.m.
PDg Predicate description generation batch_69a25d3463648190ac716d7475378536 completed Feb. 28, 2026, 3:12 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.