Triple

T8031869
Position Surface form Disambiguated ID Type / Status
Subject Jingdezhen E187002 entity
Predicate borders P224 FINISHED
Object Anhui Province E13352 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: Anhui Province | Statement: [Jingdezhen, borders, Anhui Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anhui Province
Context triple: [Jingdezhen, borders, Anhui Province]
  • A. Anhui chosen
    Anhui is an eastern Chinese province known for its role in revolutionary history, rich cultural heritage, and scenic landscapes such as the Huangshan (Yellow Mountain) range.
  • B. northern Anhui Province
    Northern Anhui Province is a region in eastern China that forms part of the Central Plains cultural and linguistic area.
  • C. Jiangxi Province
    Jiangxi Province is an inland province in southeastern China known for its rich revolutionary history, porcelain production in Jingdezhen, and scenic landscapes such as Lushan Mountain and Poyang Lake.
  • D. Jiangsu
    Jiangsu is a populous and economically significant coastal province in eastern China, known for its rich history, dense urbanization, and major cities such as Nanjing and Suzhou.
  • E. Hubei Province
    Hubei Province is a landlocked region in central China known for its capital city Wuhan, major role in industry and transportation, and significant historical and cultural heritage.
  • 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_69ca82ae2d1081909dbfee42b41db419 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3ef18da48190835454a5eb969da7 completed March 31, 2026, 3:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63c911c081909751b614966d986c completed April 1, 2026, 12:16 a.m.
Created at: March 30, 2026, 5:22 p.m.