Triple

T2003240
Position Surface form Disambiguated ID Type / Status
Subject Kean-Hamilton Commission E43517 entity
Predicate hasPoliticalComposition P35062 FINISHED
Object 5 Republicans and 5 Democrats 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: 5 Republicans and 5 Democrats | Statement: [Kean-Hamilton Commission, hasPoliticalComposition, 5 Republicans and 5 Democrats]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPoliticalComposition
Context triple: [Kean-Hamilton Commission, hasPoliticalComposition, 5 Republicans and 5 Democrats]
  • A. hasPolity
    Indicates that one entity possesses, controls, or is associated with a particular political organization, governance structure, or state-like authority.
  • B. hasPoliticalCharacteristic
    Indicates that an entity possesses a specific political attribute, quality, or affiliation.
  • C. politicalForm
    Indicates the type or structure of governance or political organization that characterizes an entity.
  • D. hasPoliticalGroup
    Indicates that an entity is associated with, belongs to, or is represented by a particular political group or organization.
  • E. partyComposition
    Indicates how the members or elements of a group or party are arranged, distributed, or combined to form that party as a whole.
  • 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_69a88715dbbc8190b2299e29e955d997 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb8833a54819096301f3ea29ff3a1 completed March 7, 2026, 5:32 a.m.
PD Predicate disambiguation batch_69abb79e63c08190982c8b44a557266f completed March 7, 2026, 5:29 a.m.
PDg Predicate description generation batch_69abb87b9fc08190a748c278ef2d7dc7 completed March 7, 2026, 5:32 a.m.
Created at: March 4, 2026, 7:37 p.m.