Triple

T14560849
Position Surface form Disambiguated ID Type / Status
Subject Nyhavn Canal E341659 entity
Predicate hasPart P35 FINISHED
Object Nyhavn waterfront E68372 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: Nyhavn waterfront | Statement: [Nyhavn Canal, hasPart, Nyhavn waterfront]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyhavn waterfront
Context triple: [Nyhavn Canal, hasPart, Nyhavn waterfront]
  • A. Nyhavn chosen
    Nyhavn is a historic waterfront district in central Copenhagen known for its colorful 17th-century townhouses, canalside restaurants, and vibrant harbor atmosphere.
  • B. Boston Inner Harbor
    Boston Inner Harbor is a central part of Boston’s historic harbor, serving as a busy maritime and recreational waterway surrounded by key waterfront neighborhoods and landmarks.
  • C. Inner Harbor
    Inner Harbor is the central, historically significant section of Boston Harbor that borders downtown Boston and serves as a major hub for maritime, commercial, and recreational activity.
  • D. Inner Harbor
    Inner Harbor is a historic waterfront district in Baltimore known for its revitalized piers, tourist attractions, shops, restaurants, and cultural institutions.
  • E. Inner Harbor
    Inner Harbor is a key industrial and shipping channel within the Port of Corpus Christi in Texas, supporting major maritime and commercial activities.
  • 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_69d822dcc6248190bed689984bceb0e2 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb389d0f48190a1d9d69456d1cbe1 completed April 14, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ac294748190a4bfeed8c5fd9e94 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:23 a.m.