Triple

T18792953
Position Surface form Disambiguated ID Type / Status
Subject global class field theory E459561 entity
Predicate hasLocalAnalogue P133041 FINISHED
Object local class field theory 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 class field theory | Statement: [global class field theory, hasLocalAnalogue, local class field theory]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLocalAnalogue
Context triple: [global class field theory, hasLocalAnalogue, local class field theory]
  • A. hasLocalInstitution
    Indicates that a given place or region possesses or hosts an institution that operates locally within its boundaries.
  • B. hasLocalSupport
    Indicates that an entity receives backing, endorsement, or assistance from people or organizations within its immediate geographic or community area.
  • C. isLocalTo
    Indicates that one entity is geographically or contextually situated near, or within the same local area or scope as, another entity.
  • D. hasLocalCult
    Indicates that an entity is associated with a cult or worship practice that is specific to a particular locality or region.
  • E. isRegionalAlternativeTo
    Indicates that one entity serves as a counterpart or substitute for another within a specific geographic region or local context.
  • F. None of above. chosen

Provenance (4 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_69d8d396f54c8190ba49db31e8743842 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e59787e5988190883ed575ab4b6dec completed April 20, 2026, 3:03 a.m.
PD Predicate disambiguation batch_69e48d16dd34819096e096d0c0e4c15c completed April 19, 2026, 8:06 a.m.
PDg Predicate description generation batch_69e49785fd7081909577e90a55df0a35 completed April 19, 2026, 8:51 a.m.
Created at: April 10, 2026, 11:53 a.m.