Triple

T5096746
Position Surface form Disambiguated ID Type / Status
Subject Nanfei River E114884 entity
Predicate crosses P416 FINISHED
Object Hefei city center 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 city center | Statement: [Nanfei River, crosses, Hefei city center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hefei city center
Context triple: [Nanfei River, crosses, Hefei city center]
  • 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. Huangshan (city)
    Huangshan is a scenic city in southern Anhui Province, China, best known as the gateway to the famous Yellow Mountain (Huangshan) range and its surrounding cultural and natural heritage sites.
  • E. Chaohu City
    Chaohu City is a county-level city in Anhui Province, China, known for its proximity to the large freshwater Chaohu Lake and its role in regional agriculture and fisheries.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75669afc81908a8db897fe56eccd completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba80aee081908498cbe9d4f2eaa7 completed March 21, 2026, 3:34 p.m.
Created at: March 20, 2026, 1:40 p.m.