Triple

T21359647
Position Surface form Disambiguated ID Type / Status
Subject Etchū Province E526735 entity
Predicate hasModernCenter P133660 FINISHED
Object Toyama City NE NERFINISHED

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: Toyama City | Statement: [Etchū Province, hasModernCenter, Toyama City]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasModernCenter
Context triple: [Etchū Province, hasModernCenter, Toyama City]
  • A. hasContemporaryCenter chosen
    Indicates that an entity possesses or includes a central feature, hub, or focal area that is modern or current in style, function, or time period.
  • B. hasModernSquare
    Indicates that an entity possesses or includes a square-shaped feature designed or styled in a modern way.
  • C. hasModernInstitution
    Indicates that an entity possesses, hosts, or is associated with a contemporary institution or organization.
  • D. isModern
    Indicates that something belongs to, reflects, or is characteristic of the contemporary or recent period, especially in style, design, or thinking.
  • E. containsModernCity
    Indicates that one geographic or administrative region includes within its boundaries a currently existing modern city.
  • 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee5bad6a308190a9665734a0fb5f55 completed April 26, 2026, 6:38 p.m.
PD Predicate disambiguation batch_69e6162bbfc88190a3e75859941b2638 completed April 20, 2026, 12:03 p.m.
Created at: April 16, 2026, 5:07 p.m.