Triple

T19768546
Position Surface form Disambiguated ID Type / Status
Subject COEX Mall E474820 entity
Predicate connectedTo P37 FINISHED
Object Samseong Station 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: Samseong Station | Statement: [COEX Mall, connectedTo, Samseong Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Samseong Station
Context triple: [COEX Mall, connectedTo, Samseong Station]
  • A. Samseong Station chosen
    Samseong Station is a major Seoul Metropolitan Subway stop in the Gangnam area, best known for serving the COEX complex and surrounding commercial district.
  • B. Oncheonjang Station
    Oncheonjang Station is a subway station in Busan, South Korea, serving the Oncheonjang area in Dongnae District and providing access to its hot spring and commercial zones.
  • C. Cheonggu Station
    Cheonggu Station is a subway station on Seoul’s extensive metropolitan rail network, serving passengers on Line 6.
  • D. Kwangbok Station
    Kwangbok Station is a stop on the Pyongyang Metro system in North Korea, serving passengers along one of the capital’s main underground transit lines.
  • E. Gwanggyo Station
    Gwanggyo Station is a major subway station in Suwon, South Korea, serving as the southern endpoint of the Shinbundang Line and a key transit hub for the surrounding Gwanggyo New Town area.
  • 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_69d8e51a43a08190956bc6df13c91a77 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e65359bb9881908f48282b63a83f2f completed April 20, 2026, 4:24 p.m.
Created at: April 10, 2026, 1:48 p.m.