Triple

T19701494
Position Surface form Disambiguated ID Type / Status
Subject North Hwanghae Province E473107 entity
Predicate hasCity P316 FINISHED
Object Haeju E1095561 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: Haeju | Statement: [North Hwanghae Province, hasCity, Haeju]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haeju
Context triple: [North Hwanghae Province, hasCity, Haeju]
  • A. Haeju chosen
    Haeju is a coastal city in southwestern North Korea, historically significant as a regional center and port on the Yellow Sea.
  • B. Ungjin
    Ungjin was an ancient city in the Korean kingdom of Baekje that served as one of its historical capitals and a key political and cultural center.
  • C. Hajong
    The Hajong are an indigenous ethnic group of northeastern India and neighboring Bangladesh, known for their Tibeto-Burman origins, agrarian lifestyle, and distinct language and cultural traditions.
  • D. Hamhung
    Hamhung is a major city in northeastern North Korea, known as an important industrial center and for its distinctive style of cold noodle dish, Hamhung naengmyeon.
  • E. Haegeumgang
    Haegeumgang is a scenic coastal rock formation and small island off Geoje renowned for its dramatic cliffs, sea caves, and sunrise 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e642b667908190841bb5fb7bfdb3f7 completed April 20, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbaefed88190a34054bec85400f9 completed May 16, 2026, 2:51 a.m.
Created at: April 10, 2026, 1:46 p.m.