Triple

T6508740
Position Surface form Disambiguated ID Type / Status
Subject Expo 93 E150074 entity
Predicate siteLocation P3231 FINISHED
Object Daedeok Science Town E157916 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: Daedeok Science Town | Statement: [Expo 93, siteLocation, Daedeok Science Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daedeok Science Town
Context triple: [Expo 93, siteLocation, Daedeok Science Town]
  • A. Daedeok Science Town chosen
    Daedeok Science Town is a major research and development hub in South Korea, known for its concentration of high-tech industries, government research institutes, and universities.
  • B. Songdo International Business District
    Songdo International Business District is a master-planned smart city and global business hub built on reclaimed land in Incheon, South Korea, known for its advanced infrastructure and eco-friendly urban design.
  • C. Uijeongbu
    Uijeongbu is a city in South Korea known as a suburban hub north of Seoul, featuring residential districts, commercial centers, and a history of hosting U.S. military bases.
  • D. Daedeok-gu
    Daedeok-gu is a district in the city of Daejeon, South Korea, known for encompassing parts of the country’s major research and science complex.
  • E. Yongin
    Yongin is a rapidly growing city in the Seoul Capital Area of South Korea, known for attractions like Everland Resort and the Korean Folk Village.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f386aa08190bfc8592a92ec6339 completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d50d155c81908b01914db32494d8 completed March 27, 2026, 7:05 p.m.
Created at: March 27, 2026, 1:43 p.m.