Triple

T2264274
Position Surface form Disambiguated ID Type / Status
Subject Texas's 11th congressional district E50108 entity
Predicate electoralTendency P15842 FINISHED
Object safe Republican seat 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: safe Republican seat | Statement: [Texas's 11th congressional district, electoralTendency, safe Republican seat]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: electoralTendency
Context triple: [Texas's 11th congressional district, electoralTendency, safe Republican seat]
  • A. politicalTendency chosen
    Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
  • B. politicalSpectrumPosition
    Indicates the relative ideological placement of an entity along a political spectrum (e.g., left–right, liberal–conservative).
  • C. politicalSide
    Indicates the political alignment or ideological position that one entity holds in relation to political spectra or groupings.
  • D. politicalBase
    Indicates the primary group, region, or constituency that provides core political support or power for an individual or organization.
  • E. politicalPattern
    Indicates a recurring or characteristic way in which political behaviors, decisions, or power dynamics are organized or expressed.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc2ea65288190bc8644a07a11dfa9 completed March 7, 2026, 6:17 a.m.
PD Predicate disambiguation batch_69abbdb592588190ac1ef5e8c54575b1 completed March 7, 2026, 5:55 a.m.
Created at: March 4, 2026, 7:48 p.m.