Triple

T7551483
Position Surface form Disambiguated ID Type / Status
Subject Nampo-dong commercial area E178543 entity
Predicate near P350 FINISHED
Object Yongdusan Park E154502 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: Yongdusan Park | Statement: [Nampo-dong commercial area, near, Yongdusan Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yongdusan Park
Context triple: [Nampo-dong commercial area, near, Yongdusan Park]
  • A. Yongdusan Park chosen
    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.
  • B. Yeouido Park
    Yeouido Park is a large urban green space in Seoul, South Korea, known for its walking and cycling paths, cherry blossoms, and recreational areas along the Han River.
  • C. Taejongdae Park
    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.
  • D. 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.
  • E. 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.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f8b6c6488190b8fd94aca6ea8486 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c86151a5a48190a6a53baa54f19293 completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:49 p.m.