Triple

T8200001
Position Surface form Disambiguated ID Type / Status
Subject China Town (Kagoshima) E191544 entity
Predicate hasSocioEconomicRole P2223 FINISHED
Object regional gathering place 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: regional gathering place | Statement: [China Town (Kagoshima), hasSocioEconomicRole, regional gathering place]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasSocioEconomicRole
Context triple: [China Town (Kagoshima), hasSocioEconomicRole, regional gathering place]
  • A. hasEconomicRole chosen
    Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
  • B. hasSocioEconomicContext
    Indicates the broader social and economic conditions or circumstances within which an entity, event, or relationship occurs or is interpreted.
  • C. hasSocioeconomicIssue
    Indicates that an entity is affected by, associated with, or involved in a socioeconomic problem or challenge.
  • D. hasEconomicPosition
    Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
  • E. hasSocialPosition
    Indicates that an entity occupies or is assigned a particular social status, role, or rank within a social structure or hierarchy.
  • 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_69ca82c6e9548190a4c5ca14516e4417 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df565dc819099537fc06b694b40 completed March 31, 2026, 5:39 a.m.
PD Predicate disambiguation batch_69cb36aac86081909b83636e352e0ced completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:43 p.m.