Triple

T21113606
Position Surface form Disambiguated ID Type / Status
Subject Daqing E520233 entity
Predicate hasChineseName P4878 FINISHED
Object 大庆 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: 大庆 | Statement: [Daqing, hasChineseName, 大庆]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 大庆
Context triple: [Daqing, hasChineseName, 大庆]
  • A. Qiqihar
    Qiqihar is a major industrial city in northeastern China’s Heilongjiang province, known historically as a regional transportation hub and center for heavy industry.
  • B. Daqing chosen
    Daqing is a major industrial city in northeastern China best known for its large oil fields and role as a center of the country’s petroleum industry.
  • C. Jiamusi
    Jiamusi is a prefecture-level city in northeastern China’s Heilongjiang province, known as an important regional industrial and transportation hub.
  • D. Linqing City
    Linqing City is a county-level city in western Shandong Province, China, known historically as a transport and commercial hub along the Grand Canal.
  • E. Luohe City
    Luohe City is a prefecture-level city in central China’s Henan Province, known for its food processing industry and location along the Sha River.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72103b3888190a19e9a40f01fb439 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.