Triple

T4962265
Position Surface form Disambiguated ID Type / Status
Subject Nanshan District E111435 entity
Predicate borders P224 FINISHED
Object Futian District E111915 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: Futian District | Statement: [Nanshan District, borders, Futian District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Futian District
Context triple: [Nanshan District, borders, Futian District]
  • A. Futian District chosen
    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.
  • B. Tianxin District
    Tianxin District is a central urban district of Changsha, the capital city of Hunan Province in China, known for its historical sites and commercial areas.
  • C. Xiaonan District
    Xiaonan District is the central urban district and administrative seat of Xiaogan City in Hubei Province, China.
  • D. Wanhua District
    Wanhua District is one of Taipei’s oldest urban areas, known for its historic temples, traditional markets, and the popular shopping and entertainment area of Ximending.
  • E. Tianning District
    Tianning District is an urban administrative district of Changzhou in Jiangsu Province, China, known for its historic temples and commercial centers.
  • 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_69bd4419393c819086319a6fe4bf8542 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd71f3e6148190b99f35734220ffc3 completed March 20, 2026, 4:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04c81380881908409ff4518140467 completed March 22, 2026, 8:09 p.m.
Created at: March 20, 2026, 1:32 p.m.