Triple

T1650497
Position Surface form Disambiguated ID Type / Status
Subject Chen Clan Ancestral Hall E35678 entity
Predicate cityDistrict P2709 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: [Chen Clan Ancestral Hall, cityDistrict, Liwan District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liwan District
Context triple: [Chen Clan Ancestral Hall, cityDistrict, 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. Haizhu District
    Haizhu District is a central urban district of Guangzhou, China, known for its mix of residential areas, commercial centers, and cultural sites along the Pearl River.
  • D. Jianye District
    Jianye District is an urban district of Nanjing, China, known for its historical significance and major memorial sites related to the Nanjing Massacre.
  • E. Nanshan District
    Nanshan District is a major urban district of Shenzhen, China, known as a key technology and innovation hub that hosts many leading tech companies and research institutions.
  • 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_69a8860568888190a32cd9f70acbba42 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a66b58c819082d38ef1c805cf44 completed March 5, 2026, 4:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5b7247c81909224f04af68c3a5d completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:29 p.m.