Triple

T8305581
Position Surface form Disambiguated ID Type / Status
Subject San Francisco Chronicle E194454 entity
Predicate politicalCoverageFocus P72922 FINISHED
Object San Francisco politics 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: San Francisco politics | Statement: [San Francisco Chronicle, politicalCoverageFocus, San Francisco politics]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: politicalCoverageFocus
Context triple: [San Francisco Chronicle, politicalCoverageFocus, San Francisco politics]
  • A. politicalSpectrumCoverage
    Indicates the range and diversity of political viewpoints or positions that are represented or addressed within a given context.
  • B. hasPoliticalCoverage
    Indicates that one entity provides or includes reporting, analysis, or information about the political activities, positions, or affairs of another entity.
  • C. mediaCoverageFocus chosen
    Indicates the primary topic, subject, or aspect that media coverage is centered on or emphasizes.
  • D. politicalCurrent
    Indicates that an entity is presently holding or engaged in a specific political role, status, or activity at the current time.
  • E. currentPoliticalTrend
    Indicates the prevailing direction or pattern of political attitudes, behaviors, or power dynamics at a given time.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7e8db3a8819083772db5c7a2454b completed March 31, 2026, 7:58 a.m.
PD Predicate disambiguation batch_69cb70bb3a708190bc705222092da614 completed March 31, 2026, 6:59 a.m.
Created at: March 30, 2026, 5:54 p.m.