Triple

T21259102
Position Surface form Disambiguated ID Type / Status
Subject Warendorf district E523949 entity
Predicate containsTown P847 FINISHED
Object Oelde NE NERFINISHED

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: Oelde | Statement: [Warendorf district, containsTown, Oelde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oelde
Context triple: [Warendorf district, containsTown, Oelde]
  • A. Oelde chosen
    Oelde is a small town in the district of Warendorf in North Rhine-Westphalia, Germany, known for its parks, family-friendly attractions, and industrial heritage.
  • B. Heukelum
    Heukelum is a small historic town in the Dutch province of Gelderland, situated along the river Linge and known for its picturesque old center and surrounding countryside.
  • C. Hulst
    Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
  • D. Nieuwolda
    Nieuwolda is a small village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
  • E. Turnhout
    Turnhout is a historic city in northern Belgium known for its playing card industry, cultural heritage, and role as a regional center in the Kempen area.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5156d7881909bd4f83676590715 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e735e477d08190be17ad5384d69a80 completed April 21, 2026, 8:31 a.m.
Created at: April 16, 2026, 3:59 p.m.