Triple

T14886570
Position Surface form Disambiguated ID Type / Status
Subject Jongno District E350135 entity
Predicate contains P35 FINISHED
Object Anguk Station E536156 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: Anguk Station | Statement: [Jongno District, contains, Anguk Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Anguk Station
Context triple: [Jongno District, contains, Anguk Station]
  • A. Anguk Station chosen
    Anguk Station is a Seoul Metropolitan Subway station in central Seoul that serves as a key access point to the historic Bukchon Hanok Village and nearby cultural sites.
  • B. Susitna Station
    Susitna Station is a small, remote community in Alaska situated near the Susitna River, historically associated with river transport and rural Alaskan life.
  • C. Kohnen Station
    Kohnen Station is a German summer-only research facility in Antarctica, primarily used for glaciological and climate studies on the East Antarctic Ice Sheet.
  • D. Davis Station
    Davis Station is a major Australian research base in Antarctica that supports scientific studies of the polar environment, climate, and ecosystems.
  • E. Mo i Rana Station
    Mo i Rana Station is a railway station in the town of Mo i Rana in Nordland county, Norway, serving as a stop on the Nordland Line between Trondheim and Bodø.
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5f5b1c88190815f3585770cb135 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5d0a208190b2490c86b15a42db completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:56 a.m.