Triple

T11399408
Position Surface form Disambiguated ID Type / Status
Subject China High-Speed Rail Network E270066 entity
Predicate majorEarlyLine P41814 FINISHED
Object Beijing–Tianjin Intercity Railway E346247 NE FINISHED

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: Beijing–Tianjin Intercity Railway | Statement: [China High-Speed Rail Network, majorEarlyLine, Beijing–Tianjin Intercity Railway]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beijing–Tianjin Intercity Railway
Context triple: [China High-Speed Rail Network, majorEarlyLine, Beijing–Tianjin Intercity Railway]
  • A. Beijing–Tianjin Intercity Railway chosen
    The Beijing–Tianjin Intercity Railway is a high-speed rail line in China that connects the cities of Beijing and Tianjin, significantly reducing travel time between the two major urban centers.
  • B. Beijing–Shanghai High-Speed Railway
    The Beijing–Shanghai High-Speed Railway is a major high-speed rail corridor in China that connects the capital Beijing with the economic hub Shanghai, significantly reducing travel time between the two megacities.
  • C. Beijing–Guangzhou High-Speed Railway
    The Beijing–Guangzhou High-Speed Railway is one of China’s longest and busiest high-speed rail corridors, linking the capital Beijing with the southern metropolis Guangzhou and serving major cities along the route.
  • D. Beijing–Zhangjiakou intercity railway
    The Beijing–Zhangjiakou intercity railway is a high-speed rail line in northern China that connects Beijing with the city of Zhangjiakou and serves as a key transport link for the Beijing 2022 Winter Olympics region.
  • E. Beijing–Xiong’an intercity railway
    The Beijing–Xiong’an intercity railway is a high-speed rail line in China that connects Beijing with the newly developed Xiong’an New Area, serving as a key transport link for the region’s integrated development.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: majorEarlyLine
Context triple: [China High-Speed Rail Network, majorEarlyLine, Beijing–Tianjin Intercity Railway]
  • A. mainLine
    Indicates that something serves as the primary or central line, route, or sequence among a set of related lines.
  • B. isMajorLineOf chosen
    Indicates that one entity is a primary or principal route, branch, or component within the structure or network represented by the other entity.
  • C. majorFor
    Indicates that an academic program, field of study, or specialization is the primary major associated with a particular student or degree.
  • D. majorSeries
    Indicates that one entity is a primary or central installment within a larger series or sequence of related works.
  • E. majorDay
    Indicates that a particular day holds primary or special significance in relation to an event, schedule, or entity.
  • F. None of above.

Provenance (4 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d8001adc188190ae45227856156412 completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e713309c208190bb5764b3b5ccf130 completed April 21, 2026, 6:03 a.m.
PD Predicate disambiguation batch_69d7e70b228c8190b87f5101fd683788 completed April 9, 2026, 5:51 p.m.
Created at: April 8, 2026, 9:34 p.m.