Triple

T10035367
Position Surface form Disambiguated ID Type / Status
Subject Shamian Park E204951 entity
Predicate locatedIn P40 FINISHED
Object Liwan District E189403 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: Liwan District | Statement: [Shamian Park, locatedIn, Liwan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liwan District
Context triple: [Shamian Park, locatedIn, Liwan District]
  • A. Liwan District chosen
    Liwan District is a historic urban district in Guangzhou, China, known for its traditional Cantonese culture, architecture, and bustling commercial streets.
  • B. Futian District
    Futian District is a central urban district of Shenzhen, China, known as a major commercial, administrative, and financial hub that hosts the city government and the Shenzhen Central Business District.
  • C. Fengze District
    Fengze District is a central urban district of Quanzhou in Fujian Province, China, known as one of the city’s main commercial and administrative hubs.
  • D. Binhu District
    Binhu District is an urban district of Wuxi in Jiangsu Province, China, known for its lakeside scenery along Taihu Lake and its role as a key residential and economic area of the city.
  • E. Haicang District
    Haicang District is an urban district of Xiamen in Fujian Province, China, known for its industrial development and port facilities across the strait from Taiwan.
  • 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_69ca834d77188190ad645e33e8ca3200 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cdce4a515c8190baec86d924623b12 completed April 2, 2026, 2:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a225e0c8190b87eb646cefa6a33 completed April 5, 2026, 5:21 p.m.
Created at: March 30, 2026, 8:55 p.m.