Triple

T19117190
Position Surface form Disambiguated ID Type / Status
Subject Line 4 (Seoul Metropolitan Subway) E467935 entity
Predicate servesStation P839 FINISHED
Object Sadang Station E1098300 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: Sadang Station | Statement: [Line 4 (Seoul Metropolitan Subway), servesStation, Sadang Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sadang Station
Context triple: [Line 4 (Seoul Metropolitan Subway), servesStation, Sadang Station]
  • A. Sadang Station chosen
    Sadang Station is a major Seoul Metropolitan Subway transfer station in southern Seoul, serving as an important transit hub for commuters in and around Gwanak-gu.
  • B. Sajik Station
    Sajik Station is a subway station in Busan, South Korea, serving the Dongnae District on the Busan Metro network.
  • C. Jonggak Station
    Jonggak Station is a major Seoul Metropolitan Subway station in central Seoul, South Korea, serving the bustling Jongno business and shopping district.
  • D. Asan Station
    Asan Station is a railway station in Asan, South Korea, serving as a regional transit hub connecting local and intercity rail services.
  • E. Yeouinaru Station
    Yeouinaru Station is a subway station on Seoul Subway Line 5 located in the Yeouido district of Seoul, South Korea, serving the Han River riverside area and nearby business complexes.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e399a6d8819090a9501ff1637b9d completed April 20, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0883db3d888190a737968796e13f79 completed May 16, 2026, 2:49 p.m.
Created at: April 10, 2026, 12:05 p.m.