Triple

T7317833
Position Surface form Disambiguated ID Type / Status
Subject Hengyang E168458 entity
Predicate hasSubdivision P747 FINISHED
Object Nanyue District E667129 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: Nanyue District | Statement: [Hengyang, hasSubdivision, Nanyue District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nanyue District
Context triple: [Hengyang, hasSubdivision, Nanyue District]
  • A. Nanyue District chosen
    Nanyue District is an administrative district in Hengyang, Hunan Province, China, best known as the site of Mount Heng, one of the country’s Five Great Mountains and an important center of religious pilgrimage and tourism.
  • B. Haizhu District
    Haizhu District is a central urban district of Guangzhou, China, known for its mix of residential areas, commercial centers, and cultural sites along the Pearl River.
  • C. Xinbei District
    Xinbei District is a major urban district and economic hub of Changzhou in Jiangsu Province, China, known for its modern development and industrial zones.
  • D. Luyang District
    Luyang District is a central urban district of Hefei, Anhui Province, China, known as an administrative, commercial, and cultural hub of the city.
  • E. Zhifu District
    Zhifu District is the central urban district and administrative, commercial, and cultural core of Yantai in Shandong Province, China.
  • 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_69c68a5251508190ad68df4151cfeb04 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6ef178b3081908cd0c62466069741 completed March 27, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c925264798819096e154ffa23ddfae completed March 29, 2026, 1:12 p.m.
Created at: March 27, 2026, 3:02 p.m.