Triple

T7441097
Position Surface form Disambiguated ID Type / Status
Subject Suyeong Bay E171753 entity
Predicate adjacentTo P224 FINISHED
Object Marine City (Busan) E192582 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: Marine City (Busan) | Statement: [Suyeong Bay, adjacentTo, Marine City (Busan)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marine City (Busan)
Context triple: [Suyeong Bay, adjacentTo, Marine City (Busan)]
  • A. Nam-gu, Busan
    Nam-gu, Busan is a coastal district in the south-central part of Busan, South Korea, known for its residential neighborhoods, universities, and views over the city and harbor.
  • B. Yeosu
    Yeosu is a coastal city in South Jeolla Province, South Korea, known for its scenic archipelago, maritime industry, and role as host of the 2012 World Expo.
  • C. Busan North Port area
    The Busan North Port area is a key maritime and redevelopment district within Busan’s waterfront, encompassing port facilities, logistics hubs, and emerging urban spaces.
  • D. Mokpo
    Mokpo is a coastal city in South Jeolla Province, South Korea, known as a regional transportation hub and gateway to numerous nearby islands.
  • E. Dong-gu, Busan chosen
    Dong-gu, Busan is a central district of Busan, South Korea, known for its major transportation hubs, dense urban neighborhoods, and coastal views.
  • 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_69c68a64228c8190affaec2a8127ce7b completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f34d84008190936af2b3670ef210 completed March 27, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c827976b9081909ac722b397ae0d97 completed March 28, 2026, 7:10 p.m.
Created at: March 27, 2026, 3:13 p.m.