Triple

T22852034
Position Surface form Disambiguated ID Type / Status
Subject Jamsil E566377 entity
Predicate hasAttraction P105 FINISHED
Object Lotte World Tower 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: Lotte World Tower | Statement: [Jamsil, hasAttraction, Lotte World Tower]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lotte World Tower
Context triple: [Jamsil, hasAttraction, Lotte World Tower]
  • A. Lotte World Tower chosen
    Lotte World Tower is a 123-story supertall skyscraper in Seoul that ranks among the tallest buildings in the world and serves as a major commercial, cultural, and tourist hub.
  • B. Seoul Station City Tower
    Seoul Station City Tower is a prominent high-rise commercial complex in Seoul, South Korea, designed by the international architecture firm Kohn Pedersen Fox.
  • C. Mirae Asset Tower
    Mirae Asset Tower is a prominent modern skyscraper in Shanghai’s Pudong financial district, contributing to the iconic skyline along the Huangpu River.
  • D. Posco Tower Seoul
    Posco Tower Seoul is a prominent skyscraper and corporate office building in Seoul, South Korea, serving as a major landmark and business hub in the city.
  • E. Hanbit Tower
    Hanbit Tower is a prominent landmark and observation tower in Daejeon, South Korea, originally built for the Daejeon Expo and now serving as a symbol of science and technology in the city.
  • 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_69e2458750b481908a8e4cf4609cc6cf completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17eb9a5b8819091cbb4ac42fbf778 completed April 29, 2026, 3:44 a.m.
Created at: April 17, 2026, 3:36 p.m.