Triple

T12368791
Position Surface form Disambiguated ID Type / Status
Subject Lu'an E294940 entity
Predicate borderedBy P224 FINISHED
Object Huainan E171080 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: Huainan | Statement: [Lu'an, borderedBy, Huainan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Huainan
Context triple: [Lu'an, borderedBy, Huainan]
  • A. Huainan chosen
    Huainan is a prefecture-level industrial city in China's Anhui province, historically known for its coal mining and its location in the Huai River basin.
  • B. Huaibei
    Huaibei is a prefecture-level city in northern Anhui Province, China, known historically for its coal mining industry and growing diversified economy.
  • C. Wuhu
    Wuhu is a major industrial and transportation hub city in southeastern Anhui Province, eastern China, situated on the lower reaches of the Yangtze River.
  • D. Bengbu
    Bengbu is a mid-sized industrial and transportation hub city in eastern China, located in the northern part of Anhui province along the Huai River.
  • E. Chuzhou
    Chuzhou is a prefecture-level city in eastern China known for its location near the Yangtze River and its role as a regional transportation and agricultural hub in Anhui Province.
  • 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_69d6ab6d8a4081908636601e69ddf262 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93fa65a608190a1597a49751185a8 completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655608a0c81908002f9d79d017ded completed May 2, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:54 p.m.