Triple

T6612231
Position Surface form Disambiguated ID Type / Status
Subject Ennigerloh E149262 entity
Predicate locatedNear P294 FINISHED
Object Oelde
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.
E601002 NE FINISHED

How this triple was built (4 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: [Ennigerloh, locatedNear, Oelde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oelde
Context triple: [Ennigerloh, locatedNear, Oelde]
  • A. 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.
  • B. Hulst
    Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
  • C. Nieuwolda
    Nieuwolda is a small village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
  • D. Oldehove
    Oldehove is a village in the Dutch province of Groningen, known for its rural character and historic church.
  • E. Oldekerk
    Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oelde
Triple: [Ennigerloh, locatedNear, Oelde]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oelde
Target entity description: 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.
  • A. 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.
  • B. Hulst
    Hulst is a historic fortified town and municipality in the Dutch province of Zeeland, near the border with Belgium.
  • C. Nieuwolda
    Nieuwolda is a small village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
  • D. Oldehove
    Oldehove is a village in the Dutch province of Groningen, known for its rural character and historic church.
  • E. Oldekerk
    Oldekerk is a village in the Dutch province of Groningen, known as a small rural community within the municipality of Westerkwartier.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69c6cd89b51c81909ea17d391732630e completed March 27, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce70442c8190a12a6c6eb76c5269 completed March 27, 2026, 6:37 p.m.
Created at: March 27, 2026, 1:57 p.m.