Triple

T10300310
Position Surface form Disambiguated ID Type / Status
Subject Anyang E241609 entity
Predicate governingBody P46 FINISHED
Object Anyang City Government E77170 NE 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: Anyang City Government | Statement: [Anyang, governingBody, Anyang City Government]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anyang City Government
Context triple: [Anyang, governingBody, Anyang City Government]
  • A. Anyang chosen
    Anyang is an ancient city in northern China renowned as one of the historical capitals of the Shang dynasty and a major archaeological site.
  • B. Anyang
    Anyang is a mid-sized South Korean city in the Seoul Capital Area known for its residential districts, light industry, and proximity to central Seoul.
  • C. Yao City government
    Yao City government is the municipal administrative body responsible for local governance, public services, and policy implementation in Yao, Japan.
  • D. Asan City Government
    Asan City Government is the municipal administrative authority responsible for local governance, public services, and policy implementation in the city of Asan, South Korea.
  • E. Yining municipal government
    Yining municipal government is the local administrative authority responsible for managing public affairs, services, and development in the city of Yining, Xinjiang, China.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2eefe8881908a672c4dca7657ca completed April 7, 2026, 9:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71d3f2c2c8190a71e4a896d8753e7 completed April 9, 2026, 3:30 a.m.
Created at: April 6, 2026, 11:44 a.m.