Triple

T11254635
Position Surface form Disambiguated ID Type / Status
Subject Sauwerd E266405 entity
Predicate locatedNear P294 FINISHED
Object Winsum E262908 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: Winsum | Statement: [Sauwerd, locatedNear, Winsum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winsum
Context triple: [Sauwerd, locatedNear, Winsum]
  • A. Winsum chosen
    Winsum is a historic village and former municipality in the Dutch province of Groningen, known for its old churches, windmills, and picturesque canals.
  • B. Winningen
    Winningen is a small wine-growing municipality on the Moselle River in western Germany, known for its picturesque vineyards and historic village character.
  • C. Olsberg
    Olsberg is a small town in the Hochsauerland region of North Rhine-Westphalia, Germany, known for its scenic location in the Sauerland hills and outdoor recreation opportunities.
  • D. Mechernich
    Mechernich is a small town in the Eifel region of North Rhine-Westphalia, Germany, known for its rural landscape and cultural landmarks such as the Bruder Klaus Field Chapel.
  • E. Meerbusch
    Meerbusch is a town in the German state of North Rhine-Westphalia, situated on the west bank of the Rhine near Düsseldorf and known for its affluent residential areas and green surroundings.
  • 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_69d6aac7953c8190b82caf9d7640fdf9 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9346f4c8190b29c2cf3a29cd1d1 completed April 9, 2026, 6 p.m.
NED1 Entity disambiguation (via context triple) batch_69e603a1acc08190816db1ff13708e79 completed April 20, 2026, 10:44 a.m.
Created at: April 8, 2026, 9:31 p.m.