Triple

T8008055
Position Surface form Disambiguated ID Type / Status
Subject Yuexiu District E186413 entity
Predicate hasLandmark P105 FINISHED
Object Beijing Road E708060 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: Beijing Road | Statement: [Yuexiu District, hasLandmark, Beijing Road]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beijing Road
Context triple: [Yuexiu District, hasLandmark, Beijing Road]
  • A. Nanjing Road
    Nanjing Road is one of Shanghai’s most famous and busiest commercial streets, renowned for its shopping, neon lights, and historic significance.
  • B. Beijing Road commercial street chosen
    Beijing Road commercial street is a famous historic and shopping thoroughfare in Guangzhou known for its bustling retail scene, cultural landmarks, and archaeological sites visible beneath glass walkways.
  • C. Chunxi Road
    Chunxi Road is a bustling commercial and pedestrian street in Chengdu, China, known for its shopping, dining, and vibrant urban atmosphere.
  • D. Huashan Road
    Huashan Road is a notable street in Shanghai’s former French Concession, known for its mix of historic architecture, embassies, universities, and cultural venues.
  • E. Anfu Road
    Anfu Road is a leafy, boutique-lined street in Shanghai known for its trendy cafés, independent shops, and preserved European-style architecture.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d6e1c9081909018bcebb18906f6 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63bf5efc8190aa5cdc6707adbf71 completed April 1, 2026, 12:15 a.m.
Created at: March 30, 2026, 5:18 p.m.