Triple

T17829889
Position Surface form Disambiguated ID Type / Status
Subject Dongsi station E445222 entity
Predicate namedAfter P63 FINISHED
Object Dongsi area of Beijing NE NERFINISHED

How this triple was built (3 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: Dongsi area of Beijing | Statement: [Dongsi station, namedAfter, Dongsi area of Beijing]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongsi area of Beijing
Context triple: [Dongsi station, namedAfter, Dongsi area of Beijing]
  • A. Dongcheng District, Beijing
    Dongcheng District, Beijing is a central urban district of China's capital city that encompasses many of its most important political, historical, and cultural landmarks, including Tiananmen Square and the Forbidden City.
  • B. Hepingmen area
    The Hepingmen area is a historic commercial and cultural district in central Beijing known for its traditional shops, eateries, and proximity to famous old streets like Liulichang.
  • C. Beijing city center
    Beijing city center is the historic and administrative core of China’s capital, encompassing major government institutions, commercial districts, and cultural landmarks within the inner urban area.
  • D. Chaoyangmen area
    The Chaoyangmen area is a central district in Beijing known for its major commercial offices, residential complexes, and transport links along the city’s eastern 2nd Ring Road.
  • E. Xicheng District, Beijing
    Xicheng District, Beijing is a central urban district of Beijing known for its historic neighborhoods, government institutions, and major cultural and financial landmarks.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dongsi area of Beijing
Target entity description: The Dongsi area of Beijing is a historic neighborhood in the city’s old urban core, known for its traditional hutong alleyways, courtyard residences, and long-standing commercial streets.
  • A. Dongcheng District, Beijing chosen
    Dongcheng District, Beijing is a central urban district of China's capital city that encompasses many of its most important political, historical, and cultural landmarks, including Tiananmen Square and the Forbidden City.
  • B. Hepingmen area
    The Hepingmen area is a historic commercial and cultural district in central Beijing known for its traditional shops, eateries, and proximity to famous old streets like Liulichang.
  • C. Beijing city center
    Beijing city center is the historic and administrative core of China’s capital, encompassing major government institutions, commercial districts, and cultural landmarks within the inner urban area.
  • D. Chaoyangmen area
    The Chaoyangmen area is a central district in Beijing known for its major commercial offices, residential complexes, and transport links along the city’s eastern 2nd Ring Road.
  • E. Xicheng District, Beijing
    Xicheng District, Beijing is a central urban district of Beijing known for its historic neighborhoods, government institutions, and major cultural and financial landmarks.
  • F. None of above.

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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48917c4d88190b919a4b75aed011c completed April 19, 2026, 7:49 a.m.
Created at: April 10, 2026, 10:15 a.m.