Triple

T7252579
Position Surface form Disambiguated ID Type / Status
Subject Baeggu language E157638 entity
Predicate hasAlternativeName P39 FINISHED
Object Baegu-Baeggu E146329 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: Baegu-Baeggu | Statement: [Baeggu language, hasAlternativeName, Baegu-Baeggu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baegu-Baeggu
Context triple: [Baeggu language, hasAlternativeName, Baegu-Baeggu]
  • A. Baeggu chosen
    Baeggu is an Oceanic language of the Meso-Melanesian group spoken by a small community in the Solomon Islands.
  • B. Jagalchi Sijang
    Jagalchi Sijang is South Korea’s largest and most famous seafood market, located along the waterfront in Busan and renowned for its vast array of fresh and live seafood.
  • C. Gukje Sijang
    Gukje Sijang is one of South Korea’s largest and most famous traditional markets, located in Busan and known for its wide variety of goods and bustling atmosphere.
  • D. Seochon
    Seochon is a historic neighborhood in central Seoul known for its traditional hanok houses, narrow alleyways, and vibrant mix of old Korean culture and modern cafes and galleries.
  • E. Gukmun
    Gukmun is an old Korean term referring to the native Korean writing system that later came to be known as Joseongeul or Hangul.
  • 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_69c6882d81d4819085f7ff862951ee4f completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea7ae0e48190bd80c91bad1976c6 completed March 27, 2026, 8:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7db1278b08190bab9f01287040492 completed March 28, 2026, 1:43 p.m.
Created at: March 27, 2026, 2:56 p.m.