Triple

T16153495
Position Surface form Disambiguated ID Type / Status
Subject Fujinomiya E391972 entity
Predicate sisterCity P1072 FINISHED
Object Bozhou E161062 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: Bozhou | Statement: [Fujinomiya, sisterCity, Bozhou]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bozhou
Context triple: [Fujinomiya, sisterCity, Bozhou]
  • A. Bozhou chosen
    Bozhou is a historic city in northern Anhui Province, China, known as a major center of traditional Chinese medicine and ancient culture.
  • B. Hezhou
    Hezhou is a prefecture-level city in eastern Guangxi, China, known for its karst landscapes, mineral resources, and role as a regional transport hub.
  • C. Shangqiu
    Shangqiu is a historic prefecture-level city in eastern Henan Province, China, known as one of the country’s ancient capitals and an important regional transportation hub.
  • D. Baoding
    Baoding is a historic prefecture-level city in central Hebei Province, China, known as a regional transportation hub and former military and administrative center.
  • E. Changzhi
    Changzhi is a major city in southeastern Shanxi Province, China, known as a regional industrial and transportation hub with a long historical and cultural heritage.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e57e95c8190ae4ed641be974ce5 completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002d99e8ec8190945812327283ba6c completed May 10, 2026, 7:02 a.m.
Created at: April 10, 2026, 5:01 a.m.