Triple

T9300071
Position Surface form Disambiguated ID Type / Status
Subject Weybridge, Vermont E223735 entity
Predicate isInFederalDivision P13794 FINISHED
Object United States federal system 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: United States federal system | Statement: [Weybridge, Vermont, isInFederalDivision, United States federal system]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isInFederalDivision
Context triple: [Weybridge, Vermont, isInFederalDivision, United States federal system]
  • A. federalDivision
    Indicates that one entity is a federal-level administrative or political subdivision (such as a state, province, or territory) within the jurisdiction of another entity.
  • B. locatedInFederalEntity chosen
    Indicates that one entity is geographically or administratively situated within the jurisdiction or boundaries of a specified federal entity.
  • C. includesFederalDistrict
    Indicates that one administrative or geographic entity contains or encompasses a federal district within its boundaries.
  • D. canBeFederalizedBy
    Indicates that an entity has the legal or practical capacity to be brought under the authority, control, or jurisdiction of a specified federal-level entity.
  • E. sharesFederalDivisionType
    Indicates that two entities are associated with the same type of federal administrative or electoral division.
  • 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_69ca8423edb08190bc0c91287a484768 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08d070c881908bed41aada6f85ae completed April 1, 2026, noon
PD Predicate disambiguation batch_69cc7a5ef1908190bc5ca166bb895af6 completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:36 p.m.