Triple

T520120
Position Surface form Disambiguated ID Type / Status
Subject Matsubara E10795 entity
Predicate hasEconomicCharacter P2313 FINISHED
Object residential suburb 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: residential suburb | Statement: [Matsubara, hasEconomicCharacter, residential suburb]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEconomicCharacter
Context triple: [Matsubara, hasEconomicCharacter, residential suburb]
  • A. hasEconomicRole
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • B. hasEconomicOrganization
    Indicates that an entity possesses, is associated with, or participates in a specific economic organization or institutional economic structure.
  • C. hasEconomicActivity
    Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
  • D. isEconomicCenter
    Indicates that an entity functions as a primary hub for economic activity, such as trade, finance, or industry, within a region or system.
  • E. economicAspect chosen
    Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
  • 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_69a2e84a0d08819087e01863fcd9abf1 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1a00a6c8190a62dc7c901c2f2ff completed Feb. 28, 2026, 1:46 p.m.
PD Predicate disambiguation batch_69a2f016ba5c81909825b04e7525b4ab completed Feb. 28, 2026, 1:39 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.