Triple

T1576987
Position Surface form Disambiguated ID Type / Status
Subject Jung District E33675 entity
Predicate contains P35 FINISHED
Object Yongdusan Park vicinity 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 vicinity | Statement: [Jung District, contains, Yongdusan Park vicinity]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yongdusan Park vicinity
Context triple: [Jung District, contains, Yongdusan Park vicinity]
  • 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. Cole Park area
    The Cole Park area is a neighborhood and recreational zone in Dallas, Texas, known for its green spaces, tennis courts, and convenient access to the popular Katy Trail.
  • 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. 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. 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.
  • 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_69a885f27a4c8190a4622252cdf54c00 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908d400c08190b0f5fc32ad500b80 completed March 5, 2026, 4:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4696c34c8190826bc6ab4dad7c01 completed March 8, 2026, 9:51 a.m.
Created at: March 4, 2026, 7:27 p.m.