Triple

T1038199
Position Surface form Disambiguated ID Type / Status
Subject Eastern China E22412 entity
Predicate contains P35 FINISHED
Object Hefei E17536 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: Hefei | Statement: [Eastern China, contains, Hefei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hefei
Context triple: [Eastern China, contains, Hefei]
  • A. Hefei chosen
    Hefei is the capital and largest city of Anhui Province in eastern China, known as a major industrial, scientific, and educational center.
  • B. 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.
  • C. 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.
  • D. Anqing
    Anqing is a prefecture-level city in southwestern Anhui Province, China, known historically as a regional political and military center along the Yangtze River.
  • E. 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.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b82b3ef08190bcd24845b4418d47 completed March 1, 2026, 10:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69ada9536bec8190acf50065863bd16a completed March 8, 2026, 4:52 p.m.
Created at: March 1, 2026, 7:41 p.m.