Triple

T28364952
Position Surface form Disambiguated ID Type / Status
Subject Indiana E718459 entity
Predicate federalUpperHouseRepresentation P42195 FINISHED
Object two seats in the United States Senate 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: two seats in the United States Senate | Statement: [Indiana, federalUpperHouseRepresentation, two seats in the United States Senate]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: federalUpperHouseRepresentation
Context triple: [Indiana, federalUpperHouseRepresentation, two seats in the United States Senate]
  • A. upperHouseRepresentation
    Indicates the relationship by which an entity is represented in, or holds seats within, an upper legislative chamber (such as a senate or upper house of parliament).
  • B. haveUpperHouseRepresentationIn chosen
    Indicates that an entity holds or is assigned representation in a specified upper legislative chamber.
  • C. shareFederalRepresentation
    Indicates that two or more entities are represented by the same federal-level representative or body within a governmental system.
  • D. federalRepresentationLevel
    Indicates the degree or tier at which an entity is represented within a federal governmental structure or system.
  • E. numberOfRepresentatives
    Indicates the quantity of representatives associated with a given entity or unit.
  • 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_69eff6ed5af48190be4e0adf298223e0 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f6645ba71c81908044ade6ab577018 completed May 2, 2026, 8:53 p.m.
PD Predicate disambiguation batch_69f663362c008190a22afed262f1e426 completed May 2, 2026, 8:48 p.m.
Created at: April 28, 2026, 12:54 a.m.