Triple

T6038514
Position Surface form Disambiguated ID Type / Status
Subject Shenzhen River E134481 entity
Predicate borderRegion P12818 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: [Shenzhen River, borderRegion, Futian District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Futian District
Context triple: [Shenzhen River, borderRegion, 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. 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.
  • C. 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.
  • D. Xiaonan District
    Xiaonan District is the central urban district and administrative seat of Xiaogan City in Hubei Province, China.
  • E. 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.
  • 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_69c00875db5c819099dd5bb833ec43c2 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c056ccac948190a27547878d4db8e4 completed March 22, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c74872582c81908c64a9bf925f67c6 completed March 28, 2026, 3:18 a.m.
Created at: March 22, 2026, 4:08 p.m.