Triple

T21033151
Position Surface form Disambiguated ID Type / Status
Subject Siming District E518114 entity
Predicate provinceLevelRegion P64798 FINISHED
Object Fujian NE NERFINISHED

How this triple was built (3 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: Fujian | Statement: [Siming District, provinceLevelRegion, Fujian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fujian
Context triple: [Siming District, provinceLevelRegion, Fujian]
  • A. Fujian chosen
    Fujian is a coastal province in southeastern China known for its significant role in Chinese migration, distinctive Min culture and dialects, and historic maritime trade.
  • B. Jianxi
    Jianxi was an era name used during the reign of Emperor Ling of the Eastern Han dynasty in ancient China.
  • C. Inland Fujian
    Inland Fujian is the mountainous, landlocked interior region of China’s Fujian province, characterized by forested hills, river valleys, and relatively less coastal development.
  • D. Kansu
    Kansu is a Turkish surname most notably associated with Şevket Aziz Kansu, a prominent Turkish academic and anthropologist.
  • E. Guangdong Province
    Guangdong Province is a populous and economically vital coastal region in southern China, known for major cities like Guangzhou and Shenzhen and its role as a manufacturing and trade hub.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: provinceLevelRegion
Context triple: [Siming District, provinceLevelRegion, Fujian]
  • A. hasProvinceLevelUnit
    Indicates that one administrative or territorial entity possesses or contains a sub-unit at the province (or equivalent) level.
  • B. placeRegion chosen
    Indicates that a place is located within, or is part of, a larger geographic or administrative region.
  • C. countrySubdivision
    Indicates that one geopolitical region is an administrative or territorial subdivision of a larger country.
  • D. provinceType
    Indicates the classification or category of a province, specifying what type of administrative or territorial unit it is.
  • E. regionOfState
    Indicates that one administrative or geographical region is a subdivision or part of a larger state.
  • 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc83828c81909c1ec745c0313c9f completed April 21, 2026, 4:26 a.m.
PD Predicate disambiguation batch_69e5dbf6728881908a2a43a5c8804a2a completed April 20, 2026, 7:55 a.m.
Created at: April 16, 2026, 1:59 p.m.