Triple

T267887
Position Surface form Disambiguated ID Type / Status
Subject Hubei Province E5772 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: [Hubei Province, borders, Anhui Province]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anhui Province
Context triple: [Hubei Province, 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. 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.
  • C. 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.
  • D. Henan Province
    Henan Province is a populous landlocked province in central China, historically regarded as a cradle of Chinese civilization and home to several ancient capitals.
  • E. Hebei
    Hebei is a northern Chinese province surrounding Beijing and Tianjin, historically significant as a major political, military, and industrial region.
  • 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_69a2587daeb081909591b9d30f80a271 completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25dae4a0c8190a66cf6ed3889851c completed Feb. 28, 2026, 3:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38f4fa8908190961d1bc22a75a081 completed March 1, 2026, 12:58 a.m.
Created at: Feb. 28, 2026, 2:56 a.m.