Triple

T18720683
Position Surface form Disambiguated ID Type / Status
Subject California legislative districts E457764 entity
Predicate excludeFromCriteria P3119 FINISHED
Object favoring or discriminating against incumbents 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: favoring or discriminating against incumbents | Statement: [California legislative districts, excludeFromCriteria, favoring or discriminating against incumbents]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: excludeFromCriteria
Context triple: [California legislative districts, excludeFromCriteria, favoring or discriminating against incumbents]
  • A. excludedFrom
    Indicates that one entity is deliberately not included within the scope, membership, or applicability of another entity or set.
  • B. excludesFromEvidence
    Indicates that something is intentionally omitted or disallowed from being considered as evidence in a given context.
  • C. excludes chosen
    Indicates that one entity deliberately omits, leaves out, or does not allow the inclusion of another entity within a set, group, or context.
  • D. exclusionBasis
    Indicates the reason or criterion used to exclude an entity from a set, process, or consideration.
  • E. excludeRange
    Indicates that certain values, items, or elements falling within a specified range are to be omitted or not considered.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab9e0dc8190bf579d7e89e941f4 completed April 19, 2026, 11:52 p.m.
PD Predicate disambiguation batch_69e478e0889c8190a118d67b200ce8ef completed April 19, 2026, 6:40 a.m.
Created at: April 10, 2026, 11:50 a.m.