Triple

T2235869
Position Surface form Disambiguated ID Type / Status
Subject Dongcheng District, Beijing E49277 entity
Predicate contains P35 FINISHED
Object Dongzhimen E68474 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: Dongzhimen | Statement: [Dongcheng District, Beijing, contains, Dongzhimen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dongzhimen
Context triple: [Dongcheng District, Beijing, contains, Dongzhimen]
  • A. Dongdan
    Dongdan is a central commercial and transportation hub in Beijing known for its shopping streets, offices, and busy intersections.
  • B. Dongzhimen station chosen
    Dongzhimen station is a major Beijing Subway interchange hub connecting multiple lines and serving as a key gateway to the city’s northeastern districts and the airport rail link.
  • C. Guangchang
    Guangchang is a Chinese given name most notably borne by Guo Guangchang, a prominent Chinese billionaire entrepreneur and chairman of the Fosun conglomerate.
  • D. Lujiazui
    Lujiazui is Shanghai’s major financial district and futuristic skyline area on the east bank of the Huangpu River, known for its cluster of iconic skyscrapers.
  • E. Nanluoguxiang
    Nanluoguxiang is a historic hutong alley and popular cultural and tourist street in central Beijing, known for its traditional courtyard architecture, shops, cafes, and nightlife.
  • 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_69a88aa84bdc819086df50e9c20b301e completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc093ba0c819091df09a0e018fce1 completed March 7, 2026, 6:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae95fb20b88190b7e959b5d718fe73 completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:47 p.m.