Triple

T15187788
Position Surface form Disambiguated ID Type / Status
Subject Verbandsgemeinde Rhein-Mosel E362921 entity
Predicate contains P35 FINISHED
Object Winningen E796990 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: Winningen | Statement: [Verbandsgemeinde Rhein-Mosel, contains, Winningen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winningen
Context triple: [Verbandsgemeinde Rhein-Mosel, contains, Winningen]
  • A. Winningen chosen
    Winningen is a small wine-growing municipality on the Moselle River in western Germany, known for its picturesque vineyards and historic village character.
  • B. Winsum
    Winsum is a historic village and former municipality in the Dutch province of Groningen, known for its old churches, windmills, and picturesque canals.
  • C. Würselen
    Würselen is a town in western Germany’s state of North Rhine-Westphalia, located near the city of Aachen and known historically for its mining and industrial heritage.
  • D. Rudolfswerth
    Rudolfswerth is the former German name for Novo Mesto, a historic town in southeastern Slovenia known for its medieval heritage and role as a regional cultural center.
  • E. Willebadessen
    Willebadessen is a small town in western Germany, located in the state of North Rhine-Westphalia.
  • 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_69d85a09a39c81908759f23268e2d408 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0067995fc8190b048f15086bd42f0 completed April 15, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b35c5488190a22195578c6da855 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:09 a.m.