Triple

T4089425
Position Surface form Disambiguated ID Type / Status
Subject health insurance marketplace E87667 entity
Predicate mayBeOperatedBy P52946 FINISHED
Object government entity 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: government entity | Statement: [health insurance marketplace, mayBeOperatedBy, government entity]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: mayBeOperatedBy
Context triple: [health insurance marketplace, mayBeOperatedBy, government entity]
  • A. canOperateUnder
    Indicates that one entity is permitted, able, or qualified to function, perform, or remain active within the conditions, authority, or environment defined by another entity.
  • B. operatesBy
    Indicates that an entity performs its function, action, or process through the use or application of another entity (e.g., a method, mechanism, or principle).
  • C. canOperateInMultiple
    Indicates that an entity is capable of functioning or being used across more than one context, environment, or mode.
  • D. usedByOperator
    Indicates that something is utilized or operated by a particular operator or operating entity.
  • E. operatedAs
    Indicates that an entity functioned or was used in the capacity, role, or identity of another entity for some period of time.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefca9e9088190a97cb2ccb5d622f0 completed March 9, 2026, 5 p.m.
PD Predicate disambiguation batch_69aef909c9c88190b09d48dad325a83c completed March 9, 2026, 4:44 p.m.
PDg Predicate description generation batch_69aef9b34dec81909bbc3def9decc71a completed March 9, 2026, 4:47 p.m.
Created at: March 9, 2026, 3:39 p.m.