Triple

T13498042
Position Surface form Disambiguated ID Type / Status
Subject 1994 California gubernatorial election E320810 entity
Predicate politicalClimate P31282 FINISHED
Object politically charged 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: politically charged | Statement: [1994 California gubernatorial election, politicalClimate, politically charged]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalClimate
Context triple: [1994 California gubernatorial election, politicalClimate, politically charged]
  • A. politicalTendency
    Indicates the general political orientation, leaning, or ideological stance associated with an entity in relation to the political spectrum.
  • B. politicalShift
    Indicates a change in an entity’s political position, alignment, or governing structure over time.
  • C. politicalCategory
    Indicates the political classification or ideological grouping that an entity belongs to or is associated with.
  • D. politicalTheme chosen
    Indicates that something is related to, characterized by, or primarily concerned with politics, governance, or political issues.
  • E. politicalDiversity
    Indicates the extent to which differing political views, affiliations, or ideologies are represented or coexist within a given group, context, or environment.
  • 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_69d807629d6c8190998f1b9bb12d2ed0 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf4e9ca4819083116890a65389f9 completed April 12, 2026, 2:42 p.m.
PD Predicate disambiguation batch_69dbae06061881909a6a6032e0507587 completed April 12, 2026, 2:36 p.m.
Created at: April 9, 2026, 9:43 p.m.