Triple

T21622947
Position Surface form Disambiguated ID Type / Status
Subject Yulgok-ro E533622 entity
Predicate hasPart P35 FINISHED
Object Yulgok-ro 3-gil NE NERFINISHED

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: Yulgok-ro 3-gil | Statement: [Yulgok-ro, hasPart, Yulgok-ro 3-gil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yulgok-ro 3-gil
Context triple: [Yulgok-ro, hasPart, Yulgok-ro 3-gil]
  • A. Yulgok-ro chosen
    Yulgok-ro is a major thoroughfare in central Seoul, South Korea, known for running through historic districts and connecting key cultural and administrative areas of the city.
  • B. Yeongdodaegyo
    Yeongdodaegyo is a bascule bridge in Busan, South Korea, known as the city’s first mainland–island bridge and a local historical landmark.
  • C. Donggureung
    Donggureung is a large royal burial complex in Guri, South Korea, containing multiple tombs of Joseon Dynasty kings and queens and recognized as part of a UNESCO World Heritage site.
  • D. Gyebaek
    Gyebaek was a renowned 7th-century Baekje general celebrated for his valiant but ultimately doomed last stand against the Silla–Tang allied forces.
  • E. Gwanaksan
    Gwanaksan is a prominent mountain in the Seoul metropolitan area of South Korea, known for its hiking trails, rocky peaks, and scenic views over the surrounding cities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c464fba881908d0ff2ac80511ce1 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3bb0c42c8190997fbeb7a764d60e completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:34 p.m.