Triple

T18398104
Position Surface form Disambiguated ID Type / Status
Subject Huantai County E449919 entity
Predicate partOf P40 FINISHED
Object Zibo City NE NERFINISHED

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: Zibo City | Statement: [Huantai County, partOf, Zibo City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zibo City
Context triple: [Huantai County, partOf, Zibo City]
  • A. Zibo chosen
    Zibo is an industrial and historical city in eastern China known for its ceramics, petrochemical industry, and role as a former capital of the ancient State of Qi.
  • B. Jining
    Jining is a city in Shandong Province, China, historically significant as a transport and commercial hub along the Grand Canal.
  • C. Zhucheng
    Zhucheng is a county-level city in eastern Shandong Province, China, known for its rich dinosaur fossil discoveries and historical significance.
  • D. Taian
    Taian is a prefecture-level city in eastern China's Shandong province, best known as the gateway to the sacred Mount Tai.
  • E. Taishan city
    Taishan city is a county-level coastal city in Guangdong Province, China, known for its overseas Chinese heritage and nearby islands such as Shangchuan Island.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e5184879548190b7f428e2d4c2caa4 completed April 19, 2026, 6 p.m.
Created at: April 10, 2026, 10:46 a.m.