Triple

T12948870
Position Surface form Disambiguated ID Type / Status
Subject Rainbow Riverside Park E309837 entity
Predicate locatedIn P40 FINISHED
Object Taipei, Taiwan E14412 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: Taipei, Taiwan | Statement: [Rainbow Riverside Park, locatedIn, Taipei, Taiwan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taipei, Taiwan
Context triple: [Rainbow Riverside Park, locatedIn, Taipei, Taiwan]
  • A. Taipei, Taiwan chosen
    Taipei, Taiwan is the capital and largest city of Taiwan, known as a major political, economic, and cultural center in East Asia.
  • B. Chiayi City, Taiwan
    Chiayi City, Taiwan, is a historic city in southwestern Taiwan known as a gateway to Alishan and for its rich cultural heritage and traditional night markets.
  • C. Hsinchu, Taiwan
    Hsinchu, Taiwan is a major high-tech city often called Taiwan’s “Silicon Valley,” known for its science park and concentration of semiconductor and electronics companies.
  • D. Tainan
    Tainan is a historic city in southern Taiwan known for its well-preserved temples, traditional culture, and status as the island’s former capital.
  • E. Songshan District, Taipei, Taiwan
    Songshan District is a bustling urban area in eastern Taipei, Taiwan, known for its mix of traditional markets, modern commercial centers, and riverside parks.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e1c67b8819094e5243267f93ce2 completed April 10, 2026, 10:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde158a5a48190b3945945f94f97a0 completed May 8, 2026, 1:12 p.m.
Created at: April 9, 2026, 5:43 p.m.