Triple

T6889935
Position Surface form Disambiguated ID Type / Status
Subject NDSM Wharf E159018 entity
Predicate hasLandmark P105 FINISHED
Object NDSM Loods E628174 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: NDSM Loods | Statement: [NDSM Wharf, hasLandmark, NDSM Loods]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NDSM Loods
Context triple: [NDSM Wharf, hasLandmark, NDSM Loods]
  • A. NDSM chosen
    NDSM is a former shipyard in Amsterdam that has been transformed into a vibrant cultural and creative hotspot featuring art, festivals, studios, and waterfront venues.
  • B. Rubenshuis
    Rubenshuis is the former home and studio of Baroque painter Peter Paul Rubens in Antwerp, now a museum dedicated to his life and work.
  • C. Driehuis
    Driehuis is a village in the Dutch province of North Holland, known for its residential character and proximity to the North Sea coast and nearby dunes.
  • D. Nijmegen Quarter
    Nijmegen Quarter was a historical administrative region centered around the city of Nijmegen within the medieval Duchy of Guelders in the Low Countries.
  • E. Leprozenhuis in Amsterdam
    The Leprozenhuis in Amsterdam was a historical leper hospital and charitable institution dedicated to the care and isolation of people with leprosy in the city.
  • 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_69c6883568c8819081db6407e892cccc completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d9117c84819093dad7b765337b63 completed March 27, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7511d44ec819093b3779dd1eda5f1 completed March 28, 2026, 3:55 a.m.
Created at: March 27, 2026, 2:23 p.m.