Triple

T7946140
Position Surface form Disambiguated ID Type / Status
Subject Enshi Xujiaping Airport E184501 entity
Predicate pushpinMapRegion P33924 FINISHED
Object China Hubei E5772 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: China Hubei | Statement: [Enshi Xujiaping Airport, pushpinMapRegion, China Hubei]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: China Hubei
Context triple: [Enshi Xujiaping Airport, pushpinMapRegion, China 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. Hubei DRC
    Hubei DRC is the provincial government agency in China responsible for macroeconomic planning, development strategy, and reform policies in Hubei Province.
  • C. Xingxian, Hubei
    Xingxian, Hubei is a locality in China historically notable as the birthplace of the Ming dynasty Jiajing Emperor.
  • D. Hebei
    Hebei is a northern Chinese province surrounding Beijing and Tianjin, historically significant as a major political, military, and industrial region.
  • E. Zhejiang Province
    Zhejiang Province is a coastal province in eastern China known for its dynamic private-sector economy, major port cities like Ningbo, and scenic areas such as Hangzhou and the West Lake.
  • 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_69ca8291c2008190b1b8832c87814bcf completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b29a570819091a2ac185a8d57c4 completed March 31, 2026, 3:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc937366b8819091f08f8f7facf6f6 completed April 1, 2026, 3:39 a.m.
Created at: March 30, 2026, 5:09 p.m.