Triple

T10385783
Position Surface form Disambiguated ID Type / Status
Subject Korea Way E244755 entity
Predicate knownAs P39 FINISHED
Object Korea Way E244755 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: Korea Way | Statement: [Korea Way, knownAs, Korea Way]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Korea Way
Context triple: [Korea Way, knownAs, Korea Way]
  • A. Korea Way chosen
    Korea Way is a vibrant stretch of Manhattan known for its dense concentration of Korean restaurants, shops, and cultural businesses, forming the core of New York City's Koreatown.
  • B. Gwangandaegyo
    Gwangandaegyo is a prominent suspension bridge in Busan, South Korea, known for its scenic coastal views and nighttime LED light displays.
  • C. Yeongdodaegyo
    Yeongdodaegyo is a bascule bridge in Busan, South Korea, known as the city’s first mainland–island bridge and a local historical landmark.
  • D. Aegukga
    Aegukga is the national anthem of South Korea, expressing patriotic devotion and love for the country.
  • E. Seoul Special City
    Seoul Special City is the capital and largest metropolis of South Korea, serving as the country’s political, economic, and cultural center.
  • 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_69d381b5116081908d85227bab6d3c0c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9a42e748190b10fa7b4ca006bad completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d795a30a008190a42db2eda3b5dca2 completed April 9, 2026, 12:03 p.m.
Created at: April 6, 2026, 12:04 p.m.