Triple

T6612216
Position Surface form Disambiguated ID Type / Status
Subject Ennigerloh E149262 entity
Predicate locatedIn P40 FINISHED
Object Münster region E177404 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: Münster region | Statement: [Ennigerloh, locatedIn, Münster region]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Münster region
Context triple: [Ennigerloh, locatedIn, Münster region]
  • A. Münsterland chosen
    Münsterland is a rural region in northwestern Germany known for its historic castles, cycling routes, and traditional Westphalian culture.
  • B. South Westphalia
    South Westphalia is a region in western Germany known for its mixed industrial and rural character, encompassing parts of North Rhine-Westphalia including the Arnsberg area.
  • C. Detmold region
    The Detmold region is an administrative region in the German state of North Rhine-Westphalia, encompassing several districts and towns in the eastern part of the state.
  • D. Oldenburg–Osnabrück region
    The Oldenburg–Osnabrück region is a metropolitan area in northwestern Germany centered around the cities of Oldenburg and Osnabrück, known for its mixed urban-rural character and strong regional economy.
  • E. Arnsberg region
    The Arnsberg region is an administrative district in the German state of North Rhine-Westphalia, encompassing several cities and towns in the eastern Ruhr and surrounding areas.
  • 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_69c687ebc680819094caf71faba2efe2 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6af3778a8819094e83afed7c6596f completed March 27, 2026, 4:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cbd651c08190a19513645fc781c9 completed March 27, 2026, 6:26 p.m.
Created at: March 27, 2026, 1:57 p.m.