Triple

T8601260
Position Surface form Disambiguated ID Type / Status
Subject Line 2 (Shanghai Metro) E203679 entity
Predicate connects P390 FINISHED
Object Zhongshan Park E348677 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: Zhongshan Park | Statement: [Line 2 (Shanghai Metro), connects, Zhongshan Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zhongshan Park
Context triple: [Line 2 (Shanghai Metro), connects, Zhongshan Park]
  • A. Zhongshan Park chosen
    Zhongshan Park is a public urban park in central Beijing known for its historical monuments, landscaped gardens, and proximity to the Forbidden City.
  • B. Zhongzheng Park
    Zhongzheng Park is a prominent hillside park in Keelung, Taiwan, best known for its large Guanyin statue, temples, and panoramic views over the harbor city.
  • C. Guangqi Park
    Guangqi Park was the former name of Shanghai’s historic Fuxing Park, a well-known French-style urban green space in the city’s former French Concession.
  • D. Yuexiu Park
    Yuexiu Park is a large, historic urban park in central Guangzhou, China, known for its scenic lakes, cultural relics, and the iconic Five Rams Statue.
  • E. Xihui Park
    Xihui Park is a historic scenic park in Wuxi, China, known for its classical gardens, temples, and panoramic views of the surrounding city and Lake Tai.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46d8ff408190acc7cd8dc99b2689 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8f13f7081908317c1b2d87a51b2 completed April 2, 2026, 5:35 p.m.
Created at: March 30, 2026, 6:24 p.m.