Triple

T8752843
Position Surface form Disambiguated ID Type / Status
Subject Busan Marine Natural History Museum E208000 entity
Predicate nearby P350 FINISHED
Object Taejongdae Park E185511 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: Taejongdae Park | Statement: [Busan Marine Natural History Museum, nearby, Taejongdae Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taejongdae Park
Context triple: [Busan Marine Natural History Museum, nearby, Taejongdae Park]
  • A. Taejongdae Park chosen
    Taejongdae Park is a scenic coastal park in Busan, South Korea, famous for its dramatic seaside cliffs, lighthouse views, and walking trails overlooking the ocean.
  • B. Haga Park
    Haga Park is a historic royal park in the Stockholm area known for its landscaped grounds, cultural heritage sites, and recreational green spaces.
  • C. 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.
  • D. Yongdusan Park
    Yongdusan Park is a popular hilltop park in Busan, South Korea, known for its scenic city and harbor views, walking paths, and the iconic Busan Tower.
  • E. Hangang Park
    Hangang Park is a large network of riverside parks in Seoul, South Korea, popular for recreation, festivals, and scenic views along the Han River.
  • 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_69ca835cd6b08190bd7c63db92f53c86 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da8cc548190a31ad542d2faf2d5 completed March 31, 2026, 11:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f0524e08190bc5ba6cda2e2e4fa completed April 3, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:39 p.m.