Triple

T21650269
Position Surface form Disambiguated ID Type / Status
Subject Lotte World Tower E534317 entity
Predicate nearbyAttraction P3449 FINISHED
Object Seokchon Lake NE NERFINISHED

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: Seokchon Lake | Statement: [Lotte World Tower, nearbyAttraction, Seokchon Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seokchon Lake
Context triple: [Lotte World Tower, nearbyAttraction, Seokchon Lake]
  • A. Seokchon Lake chosen
    Seokchon Lake is a scenic artificial lake and popular recreational area in southeastern Seoul, known for its walking paths, cherry blossoms, and views of nearby Lotte World attractions.
  • B. Gongjicheon Lake
    Gongjicheon Lake is a scenic body of water in Chuncheon, South Korea, known for its riverside parks, walking paths, and seasonal festivals.
  • C. Sanjeong Lake
    Sanjeong Lake is a scenic highland lake in Pocheon, South Korea, known for its forested mountains, walking trails, and seasonal views that attract many visitors.
  • D. Chungju Lake
    Chungju Lake is a large artificial reservoir in South Korea, created by the Chungju Dam and known for its scenic landscapes and recreational activities.
  • E. Suseong Lake
    Suseong Lake is a popular recreational lake in Daegu, South Korea, known for its scenic walking paths, cafes, and cultural events.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef5913cd9c81908a6ce9bc741416bf completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:35 p.m.