Triple

T3263778
Position Surface form Disambiguated ID Type / Status
Subject Dongzhimen station E68474 entity
Predicate fareZone P844 FINISHED
Object Beijing Subway urban zone E12220 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: Beijing Subway urban zone | Statement: [Dongzhimen station, fareZone, Beijing Subway urban zone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beijing Subway urban zone
Context triple: [Dongzhimen station, fareZone, Beijing Subway urban zone]
  • A. Beijing Subway chosen
    The Beijing Subway is one of the world’s largest and busiest rapid transit systems, forming the backbone of public transportation in China’s capital city.
  • B. Tianjin Metro
    Tianjin Metro is the rapid transit system serving the city of Tianjin, China, providing urban and suburban rail transportation across the municipality.
  • C. Shijiazhuang Metro
    Shijiazhuang Metro is the rapid transit system serving the city of Shijiazhuang, providing urban rail transportation across the capital of Hebei Province in China.
  • D. Shanghai Metro
    Shanghai Metro is one of the world’s largest and busiest rapid transit systems, serving the city of Shanghai with an extensive network of urban and suburban rail lines.
  • E. Beijing urban road network
    The Beijing urban road network is an extensive, hierarchical system of ring roads, arterial avenues, and expressways that organizes and connects the Chinese capital’s dense urban fabric and surrounding metropolitan area.
  • 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_69ad8590444081909e8107a8aeef3a23 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adafaa35e48190b894ca41dd65932b completed March 8, 2026, 5:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3341597448190805ff43effb9070c completed March 12, 2026, 9:45 p.m.
Created at: March 8, 2026, 3:09 p.m.