Triple

T17017473
Position Surface form Disambiguated ID Type / Status
Subject Yeouido Island E412859 entity
Predicate hasLandmark P105 FINISHED
Object 63 Building E412863 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: 63 Building | Statement: [Yeouido Island, hasLandmark, 63 Building]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: 63 Building
Context triple: [Yeouido Island, hasLandmark, 63 Building]
  • A. 63 Building chosen
    63 Building is a landmark skyscraper on Yeouido Island in Seoul, South Korea, known for its golden glass exterior, observation deck, and mixed-use office and entertainment facilities.
  • B. North Building
    North Building is one of the main exhibition and convention halls within Chicago’s McCormick Place complex, hosting large-scale trade shows and events.
  • C. North Building
    North Building is a distinctive wing of the Denver Art Museum, known for its modernist architecture and role in housing part of the museum’s art collections.
  • D. North Building
    North Building is one of the main commercial and office towers within the Grand Front Osaka complex, housing a mix of shops, restaurants, and business facilities.
  • E. North Building
    North Building is a major wing of the Phoenix Convention Center complex, housing exhibition, meeting, and event spaces in downtown Phoenix, Arizona.
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d480a58c8190a3912d26debb4311 completed April 18, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b4d6cb881909b64b4368fd97fa9 completed May 10, 2026, 11:57 p.m.
Created at: April 10, 2026, 5:33 a.m.