Triple

T13865610
Position Surface form Disambiguated ID Type / Status
Subject Zuiderkerk E333316 entity
Predicate nearbyWaterbody P1489 FINISHED
Object Zwanenburgwal E604528 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: Zwanenburgwal | Statement: [Zuiderkerk, nearbyWaterbody, Zwanenburgwal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zwanenburgwal
Context triple: [Zuiderkerk, nearbyWaterbody, Zwanenburgwal]
  • A. Zwanenburgwal chosen
    Zwanenburgwal is a historic canal and street in central Amsterdam, known for its picturesque views and cultural significance.
  • B. Gouwzee
    Gouwzee is a shallow bay in the Netherlands, located along the western shore of the Markermeer between the towns of Volendam and Marken.
  • C. Bemmelerwaard
    Bemmelerwaard is a riverine floodplain area in the Netherlands known for its natural landscapes and ecological value along the Waal.
  • D. Reimerswaal
    Reimerswaal is a coastal municipality in the Dutch province of Zeeland, known for its agricultural landscape and location along the Eastern Scheldt estuary.
  • E. Zwartewaal
    Zwartewaal is a small village in the western Netherlands, located in the province of South Holland.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c419d481909230e8879b6dab5c completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c10113288190b799126d934df92a completed May 3, 2026, 9:41 p.m.
Created at: April 9, 2026, 10:14 p.m.