Triple

T5847811
Position Surface form Disambiguated ID Type / Status
Subject Huang Hai E129753 entity
Predicate belongsTo P35 FINISHED
Object Seas of Korea E22214 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: Seas of Korea | Statement: [Huang Hai, belongsTo, Seas of Korea]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seas of Korea
Context triple: [Huang Hai, belongsTo, Seas of Korea]
  • A. 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.
  • B. Yellow Sea chosen
    The Yellow Sea is a marginal sea of the Western Pacific Ocean located between mainland China and the Korean Peninsula, known for its shallow waters and significant shipping and fishing activities.
  • C. Sea of Japan
    The Sea of Japan is a marginal sea of the western Pacific Ocean located between the Japanese archipelago, the Korean Peninsula, and Russia, known for its rich fisheries and strategic shipping routes.
  • D. Ariake Sea
    The Ariake Sea is a shallow inland sea in southwestern Japan known for its extensive tidal flats and rich fisheries along the coasts of Kyushu.
  • E. Suyeong Bay
    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.
  • 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_69c0084bd31c8190a796bb6284845e83 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03512d3548190920ac882189500d9 completed March 22, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c124f45d8c8190a757c82abd85c514 completed March 23, 2026, 11:33 a.m.
Created at: March 22, 2026, 3:55 p.m.