Triple

T8202406
Position Surface form Disambiguated ID Type / Status
Subject Shiyan Wudangshan Airport E191609 entity
Predicate hasProvinceServed P39584 FINISHED
Object Hubei E5772 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: Hubei | Statement: [Shiyan Wudangshan Airport, hasProvinceServed, Hubei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hubei
Context triple: [Shiyan Wudangshan Airport, hasProvinceServed, Hubei]
  • A. Hubei Province chosen
    Hubei Province is a landlocked region in central China known for its capital city Wuhan, major role in industry and transportation, and significant historical and cultural heritage.
  • B. Hebei
    Hebei is a northern Chinese province surrounding Beijing and Tianjin, historically significant as a major political, military, and industrial region.
  • C. Kansu
    Kansu is a Turkish surname most notably associated with Şevket Aziz Kansu, a prominent Turkish academic and anthropologist.
  • D. Jiangsu
    Jiangsu is a populous and economically significant coastal province in eastern China, known for its rich history, dense urbanization, and major cities such as Nanjing and Suzhou.
  • E. Jiangxi Province
    Jiangxi Province is an inland province in southeastern China known for its rich revolutionary history, porcelain production in Jingdezhen, and scenic landscapes such as Lushan Mountain and Poyang Lake.
  • 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: hasProvinceServed
Context triple: [Shiyan Wudangshan Airport, hasProvinceServed, Hubei]
  • A. servesProvince chosen
    Indicates that one entity (typically an organization, service, or administrative unit) provides service or has jurisdiction over a specified province.
  • B. servedProvince
    Indicates that an entity has provided services or held jurisdictional authority over a specified province.
  • C. hasStateServed
    Indicates that an entity has served in, been employed by, or otherwise held a role within a particular state or governmental jurisdiction.
  • D. servesStateCapitalRegion
    Indicates that an entity provides services or functions as a service hub for the state capital region.
  • E. isInProvince
    Indicates that one entity (typically a place or city) is located within the administrative boundaries of a specified province.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb5df84b108190b4407a72a3500af9 completed March 31, 2026, 5:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69cecc1842608190bc0fd78e28aa324d completed April 2, 2026, 8:05 p.m.
PD Predicate disambiguation batch_69cb36aac86081909b83636e352e0ced completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:43 p.m.