Triple

T37579771
Position Surface form Disambiguated ID Type / Status
Subject Tokyo Daishoten E934922 entity
Predicate domesticImportance P188303 FINISHED
Object attracts top Japanese dirt horses 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: attracts top Japanese dirt horses | Statement: [Tokyo Daishoten, domesticImportance, attracts top Japanese dirt horses]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: domesticImportance
Context triple: [Tokyo Daishoten, domesticImportance, attracts top Japanese dirt horses]
  • A. domesticEffect
    Indicates an effect or impact that occurs within a country’s internal context or domestic sphere.
  • B. politicalImportance
    Indicates the degree to which something holds significance, influence, or priority within political processes, decisions, or power structures.
  • C. domesticAttitude
    Indicates an entity’s stance, behavior, or disposition toward matters within its own home, household, or internal/domestic sphere.
  • D. nationalRelevance
    Indicates that something has significance, impact, or importance at the level of an entire nation.
  • E. domesticRecord
    Indicates that there exists a documented record of domestic (within-country or household-level) activity, status, or history associated with the related entities.
  • 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_69f76ece61dc8190a0ab33f8d87d0a7e completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba61dff5081909fec88a7aeb0c8a1 completed May 6, 2026, 8:35 p.m.
PD Predicate disambiguation batch_69fba350e9a8819095893229d9643572 completed May 6, 2026, 8:23 p.m.
PDg Predicate description generation batch_69fba61d2214819091ae6793bfefb1f0 completed May 6, 2026, 8:35 p.m.
Created at: May 3, 2026, 4:17 p.m.