Triple

T232245
Position Surface form Disambiguated ID Type / Status
Subject John Sutter E4432 entity
Predicate militaryAffiliation P4889 FINISHED
Object local militia forces in California 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: local militia forces in California | Statement: [John Sutter, militaryAffiliation, local militia forces in California]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: militaryAffiliation
Context triple: [John Sutter, militaryAffiliation, local militia forces in California]
  • A. hasMilitaryBranch
    Indicates that an entity is associated with, served in, or is part of a specific branch of a military organization.
  • B. militaryOrganization chosen
    Indicates that an entity functions as, or is associated with, a structured armed forces or defense-related organization.
  • C. hasMilitaryDivision
    Indicates that an entity possesses, includes, or is organizationally associated with a specific military division.
  • D. militaryDistrict
    Indicates that an entity functions as, or is located within, an administrative military district or region under military jurisdiction.
  • E. paramilitaryWing
    Indicates that one entity functions as the paramilitary or armed wing associated with another entity, typically an organization or movement.
  • 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_69a257363ffc81909757bde7ab3404da completed Feb. 28, 2026, 2:47 a.m.
NER Named-entity recognition batch_69a25f14f72081908182e76300b59358 completed Feb. 28, 2026, 3:20 a.m.
PD Predicate disambiguation batch_69a25b5c8c888190b5544e687736b373 completed Feb. 28, 2026, 3:05 a.m.
Created at: Feb. 28, 2026, 2:53 a.m.