Triple

T21784821
Position Surface form Disambiguated ID Type / Status
Subject Kinrooi E537807 entity
Predicate contains P35 FINISHED
Object Kessenich
Kessenich is a village in the Belgian province of Limburg, known for its location near the Dutch border and the Maasplassen lake district.
E1504384 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: Kessenich | Statement: [Kinrooi, contains, Kessenich]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kessenich
Context triple: [Kinrooi, contains, Kessenich]
  • A. Kurnitz
    Kurnitz is a surname most notably associated with American playwright and screenwriter Harry Kurnitz.
  • B. Kühnhausen
    Kühnhausen is a locality in Germany known historically as the place where Nazi education minister Bernhard Rust died.
  • C. Kellinghausen
    Kellinghausen is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • D. Brenkhausen
    Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • E. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • 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: Kessenich
Triple: [Kinrooi, contains, Kessenich]
Generated description
Kessenich is a village in the Belgian province of Limburg, known for its location near the Dutch border and the Maasplassen lake district.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kessenich
Target entity description: Kessenich is a village in the Belgian province of Limburg, known for its location near the Dutch border and the Maasplassen lake district.
  • A. Kurnitz
    Kurnitz is a surname most notably associated with American playwright and screenwriter Harry Kurnitz.
  • B. Kühnhausen
    Kühnhausen is a locality in Germany known historically as the place where Nazi education minister Bernhard Rust died.
  • C. Kellinghausen
    Kellinghausen is a locality within the town of Rüthen in the district of Soest, North Rhine-Westphalia, Germany.
  • D. Brenkhausen
    Brenkhausen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
  • E. Todenfeld
    Todenfeld is a village and district of the town of Rheinbach in the Rhein-Sieg-Kreis region of North Rhine-Westphalia, Germany.
  • 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_69e0c47198f881908cb0d237266c10e9 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f04630f4f08190910b9e499a4249ca completed April 28, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a4bbb8b488190b60cd44e9ca9ebee completed May 17, 2026, 11:14 p.m.
NEDg Description generation batch_6a0a4c397fa081909a9b0f7683069bba completed May 17, 2026, 11:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0a4cc140e081908fc083dbf0ba9380 completed May 17, 2026, 11:18 p.m.
Created at: April 16, 2026, 6:52 p.m.