Triple

T19164891
Position Surface form Disambiguated ID Type / Status
Subject Miyun District E469153 entity
Predicate borderedBy P224 FINISHED
Object Pinggu District NE NERFINISHED

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: Pinggu District | Statement: [Miyun District, borderedBy, Pinggu District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pinggu District
Context triple: [Miyun District, borderedBy, Pinggu District]
  • A. Pinggu District chosen
    Pinggu District is a suburban district in the eastern part of Beijing, China, known for its agricultural production, mountainous scenery, and peach orchards.
  • B. Pinglu District
    Pinglu District is an urban administrative district under the jurisdiction of Shuozhou City in Shanxi Province, northern China.
  • C. Pingzhen District
    Pingzhen District is an urban district in northern Taiwan known as part of the rapidly developing Taoyuan metropolitan area.
  • D. Pingfang District
    Pingfang District is an area of Harbin, China, historically notorious as the site of the Imperial Japanese Army’s Unit 731 biological warfare and human experimentation facilities during World War II.
  • E. Linwei District
    Linwei District is an urban administrative district in Weinan, Shaanxi Province, China, serving as the city's central political and economic area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f15e2720819084b1707497db26a2 completed April 20, 2026, 9:26 a.m.
Created at: April 10, 2026, 12:06 p.m.