Triple

T9250258
Position Surface form Disambiguated ID Type / Status
Subject District 1, Ho Chi Minh City E222302 entity
Predicate contains P35 FINISHED
Object Tao Dan Park E775434 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: Tao Dan Park | Statement: [District 1, Ho Chi Minh City, contains, Tao Dan Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tao Dan Park
Context triple: [District 1, Ho Chi Minh City, contains, Tao Dan Park]
  • A. Tao Dan Park chosen
    Tao Dan Park is a large, tree-filled public park in central Ho Chi Minh City, Vietnam, known for its walking paths, recreational facilities, and popular gathering spaces for locals.
  • B. Longtan Park
    Longtan Park is a scenic urban park and popular leisure destination in Liuzhou, China, known for its lush greenery, lakes, and walking paths.
  • C. Kinshi Park
    Kinshi Park is a popular urban green space in Tokyo’s Kinshichō district, known for its cherry blossoms, sports facilities, and views of Tokyo Skytree.
  • D. Daewangam Park
    Daewangam Park is a coastal park in Ulsan, South Korea, known for its dramatic seaside cliffs, pine forest trails, and views of the Daewangam Rock formation.
  • E. Hongmei Park
    Hongmei Park is a popular scenic urban park in Changzhou, China, known for its classical gardens, lakes, and cultural attractions.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd05f7e9848190939f9199d0c1a572 completed April 1, 2026, 11:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077fed7888190a5d36bc2ee4c2bd2 completed April 4, 2026, 2:31 a.m.
Created at: March 30, 2026, 7:31 p.m.