Triple

T9622406
Position Surface form Disambiguated ID Type / Status
Subject Goyang E232375 entity
Predicate hasPark P105 FINISHED
Object Ilsan Lake Park E809788 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: Ilsan Lake Park | Statement: [Goyang, hasPark, Ilsan Lake Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ilsan Lake Park
Context triple: [Goyang, hasPark, Ilsan Lake Park]
  • A. Ilsan Lake Park chosen
    Ilsan Lake Park is one of South Korea’s largest man-made urban lakes, known for its scenic walking paths, seasonal flower festivals, and recreational facilities in the city of Goyang.
  • B. Eunpa Lake Park
    Eunpa Lake Park is a scenic lakeside recreational area in Gunsan, South Korea, known for its walking trails, cherry blossoms, and nighttime fountain shows.
  • C. Baegun Lake Park
    Baegun Lake Park is a scenic lakeside recreational park in Uiwang, South Korea, known for its walking trails, waterfront views, and outdoor leisure facilities.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9ad505588190b8c81ce09f1904ec completed April 1, 2026, 10:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18225f9508190bde23b9d2a40bccc completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:10 p.m.