Triple

T13458100
Position Surface form Disambiguated ID Type / Status
Subject Democratic Republican Alliance E311285 entity
Predicate politicalSpectrumSegment P7253 FINISHED
Object moderate republican 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: moderate republican | Statement: [Democratic Republican Alliance, politicalSpectrumSegment, moderate republican]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalSpectrumSegment
Context triple: [Democratic Republican Alliance, politicalSpectrumSegment, moderate republican]
  • A. politicalSpectrumPosition chosen
    Indicates the relative ideological placement of an entity along a political spectrum (e.g., left–right, liberal–conservative).
  • B. politicalSpectrumCoverage
    Indicates the range and diversity of political viewpoints or positions that are represented or addressed within a given context.
  • C. politicalTendency
    Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
  • D. politicalCategory
    Indicates the political classification or ideological grouping that an entity belongs to or is associated with.
  • E. politicalSide
    Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0a75008190a508060c85f73604 completed April 12, 2026, 2:41 p.m.
PD Predicate disambiguation batch_69d9a03dcd0c8190a8927eb4eaad1c45 completed April 11, 2026, 1:13 a.m.
Created at: April 9, 2026, 9:41 p.m.