Triple

T16886402
Position Surface form Disambiguated ID Type / Status
Subject Zwarte Meer E421551 entity
Predicate locatedNear P294 FINISHED
Object Zwarte Water E495132 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: Zwarte Water | Statement: [Zwarte Meer, locatedNear, Zwarte Water]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zwarte Water
Context triple: [Zwarte Meer, locatedNear, Zwarte Water]
  • A. Zwarte Water chosen
    Zwarte Water is a river in the Dutch province of Overijssel that flows through several towns before joining the IJssel near Zwolle.
  • B. Achterwasser
    Achterwasser is a coastal lagoon on the German island of Usedom, connected to the Baltic Sea and known for its shallow waters and scenic natural surroundings.
  • C. Rotes Wasser
    Rotes Wasser is a small river in Germany that serves as a tributary of the Ohm.
  • D. Den Oever
    Den Oever is a village in the Dutch province of North Holland, known as a fishing port and gateway to the Afsluitdijk on the former island of Wieringen.
  • E. Wetsuweten
    Wetsuweten is an alternative name for the Witsuwitʼen language, an Athabaskan language spoken by the Witsuwitʼen people of north-central British Columbia, Canada.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc126e881909dae8133ad34acc9 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2bcf290819098be9def471e02b8 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.