Triple

T6354880
Position Surface form Disambiguated ID Type / Status
Subject Qufu E142965 entity
Predicate partOf P40 FINISHED
Object Jining E477917 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: Jining | Statement: [Qufu, partOf, Jining]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jining
Context triple: [Qufu, partOf, Jining]
  • A. Jining chosen
    Jining is a city in Shandong Province, China, historically significant as a transport and commercial hub along the Grand Canal.
  • B. Jinan
    Jinan is the capital city of Shandong Province in eastern China, known for its numerous natural springs and rich historical and cultural heritage.
  • C. Zibo
    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.
  • D. Linyi
    Linyi is a major prefecture-level city in southeastern Shandong Province, China, known for its large population, historical significance, and role as a regional commercial and logistics hub.
  • E. Taierzhuang
    Taierzhuang is a historic town in eastern China’s Shandong province, best known as the site of a major Chinese victory over Japanese forces during the Second Sino-Japanese War.
  • 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_69c008d6dcbc8190aa1c2f1fd8916b42 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c067e0cf1081908ee7e83b9dcf740e completed March 22, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c62d5966a88190a7184157b235b170 completed March 27, 2026, 7:10 a.m.
Created at: March 22, 2026, 4:31 p.m.