Triple

T9289690
Position Surface form Disambiguated ID Type / Status
Subject Texas in the United States Senate E223484 entity
Predicate federalSubjectRepresented P25387 FINISHED
Object U.S. state 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: U.S. state | Statement: [Texas in the United States Senate, federalSubjectRepresented, U.S. state]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: federalSubjectRepresented
Context triple: [Texas in the United States Senate, federalSubjectRepresented, U.S. state]
  • A. federalSubject chosen
    Indicates that one entity is a federal subject (a primary administrative or constituent unit) of the other entity, typically a sovereign state or federation.
  • B. federalRepresentationLevel
    Indicates the degree or tier at which an entity is represented within a federal governmental structure or system.
  • C. federalAffiliation
    Indicates a formal relationship in which an entity is associated with, governed by, or part of a federal-level organization or authority.
  • D. federalRepresentative
    Indicates that one entity serves as an official representative of another entity at the federal (national) level of government.
  • E. provinceRepresented
    Indicates that an entity (such as a person or office) serves as the official representative of a particular province.
  • 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_69ca8422ddf881908a3f8f876c9f53aa completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd08643a848190a8b5be1ccc0b2ef6 completed April 1, 2026, 11:58 a.m.
PD Predicate disambiguation batch_69cc7a5aeb748190afb89c6bbd2a6d6f completed April 1, 2026, 1:52 a.m.
Created at: March 30, 2026, 7:35 p.m.