Triple

T2718952
Position Surface form Disambiguated ID Type / Status
Subject Wuse E60034 entity
Predicate hasSubdivision P747 FINISHED
Object Wuse Zone 2 E60034 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: Wuse Zone 2 | Statement: [Wuse, hasSubdivision, Wuse Zone 2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuse Zone 2
Context triple: [Wuse, hasSubdivision, Wuse Zone 2]
  • A. Wuse chosen
    Wuse is a prominent commercial and residential district in Nigeria’s capital city, Abuja, known for its bustling markets, businesses, and government offices.
  • B. 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.
  • C. Tây Hồ District
    Tây Hồ District is an urban district of Hanoi, Vietnam, known for encompassing much of West Lake and serving as a scenic, upscale residential and cultural area of the capital.
  • D. Heping District
    Heping District is a central urban district of Tianjin, China, known for its commercial centers, historic architecture, and role as a core administrative and cultural area of the city.
  • E. Xicheng District, Beijing
    Xicheng District, Beijing is a central urban district of Beijing known for its historic neighborhoods, government institutions, and major cultural and financial landmarks.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdaaee104819085966bc54d5da9c0 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbbe621881909e153290394798d6 completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:55 p.m.