Triple

T1586682
Position Surface form Disambiguated ID Type / Status
Subject Gwangan Bridge E34081 entity
Predicate crosses P416 FINISHED
Object Suyeong Bay E171753 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: Suyeong Bay | Statement: [Gwangan Bridge, crosses, Suyeong Bay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suyeong Bay
Context triple: [Gwangan Bridge, crosses, Suyeong Bay]
  • A. Suyeong Bay chosen
    Suyeong Bay is a coastal bay in Busan, South Korea, known for its scenic waterfront, urban skyline views, and proximity to popular beaches and the Gwangan Bridge.
  • B. Korea Bay
    Korea Bay is a large inlet of the Yellow Sea located between the Liaodong Peninsula of China and the western coast of North Korea.
  • C. Sasanhaya Bay
    Sasanhaya Bay is a scenic coastal inlet on the island of Rota in the Northern Mariana Islands, known for its clear waters and surrounding limestone cliffs.
  • D. Yeongjong Island
    Yeongjong Island is a major island off the coast of Incheon, South Korea, best known as the site of Incheon International Airport, the country’s primary international gateway.
  • E. Amur Bay
    Amur Bay is a coastal bay of the Sea of Japan in Russia’s Far East, forming part of the maritime setting of the city of Vladivostok.
  • 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_69a885fceb2c8190b47e0f7c0aefbff0 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a908f3b5f48190bd5eff3ce81c5ffb completed March 5, 2026, 4:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad4037bbdc81909bcf9c5c7a7f5de5 completed March 8, 2026, 9:24 a.m.
Created at: March 4, 2026, 7:27 p.m.