Triple

T7767346
Position Surface form Disambiguated ID Type / Status
Subject Rizhao E178981 entity
Predicate hasUrbanArea P316 FINISHED
Object Donggang urban area E687225 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: Donggang urban area | Statement: [Rizhao, hasUrbanArea, Donggang urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Donggang urban area
Context triple: [Rizhao, hasUrbanArea, Donggang urban area]
  • A. Donggang District chosen
    Donggang District is the central urban district and administrative seat of the coastal city of Rizhao in Shandong Province, China.
  • B. Tieshangang District
    Tieshangang District is an administrative district of the coastal city of Beihai in Guangxi, China, known for its port and industrial activities.
  • C. Quanshan District
    Quanshan District is an urban administrative district of Xuzhou in Jiangsu Province, China, known as one of the city’s central built-up areas.
  • D. Binhai New Area
    Binhai New Area is a major coastal economic and technological development zone of Tianjin, China, known as a key hub for advanced manufacturing, finance, and international trade.
  • E. Kaiping District
    Kaiping District is an urban district under the administration of Tangshan City in Hebei Province, China, known for its industrial base and coal-related industries.
  • 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_69c69f30602c819082ab52cd4af5c592 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c7043451bc8190a76ee066b779b7d7 completed March 27, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8d6d0f1988190b4df650bebb61fd3 completed March 29, 2026, 7:37 a.m.
Created at: March 27, 2026, 4:11 p.m.