Triple

T9438588
Position Surface form Disambiguated ID Type / Status
Subject Michelbeke E227581 entity
Predicate hasNearbyHill P7612 FINISHED
Object Ten Bosse
Ten Bosse is a notable hill in Belgium, known primarily as a climb featured in regional cycling routes and races.
E799306 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: Ten Bosse | Statement: [Michelbeke, hasNearbyHill, Ten Bosse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ten Bosse
Context triple: [Michelbeke, hasNearbyHill, Ten Bosse]
  • A. De Bolle
    De Bolle is the surname of Catherine De Bolle, a prominent Belgian police official and former Executive Director of Europol.
  • B. Bonte
    Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
  • C. Bouwmeester
    Bouwmeester is a Dutch-origin surname borne by various notable individuals, including professional ice hockey player Jay Bouwmeester.
  • D. Gottschalk
    Gottschalk is a German surname most prominently associated with television host and entertainer Thomas Gottschalk.
  • E. Jan D'Alquen
    Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
  • 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: Ten Bosse
Triple: [Michelbeke, hasNearbyHill, Ten Bosse]
Generated description
Ten Bosse is a notable hill in Belgium, known primarily as a climb featured in regional cycling routes and races.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ten Bosse
Target entity description: Ten Bosse is a notable hill in Belgium, known primarily as a climb featured in regional cycling routes and races.
  • A. De Bolle
    De Bolle is the surname of Catherine De Bolle, a prominent Belgian police official and former Executive Director of Europol.
  • B. Bonte
    Bonte is a German surname most notably borne by Friedrich Bonte, a Kriegsmarine officer during World War II.
  • C. Bouwmeester
    Bouwmeester is a Dutch-origin surname borne by various notable individuals, including professional ice hockey player Jay Bouwmeester.
  • D. Gottschalk
    Gottschalk is a German surname most prominently associated with television host and entertainer Thomas Gottschalk.
  • E. Jan D'Alquen
    Jan D'Alquen is a cinematographer best known for his work on the classic coming-of-age film "American Graffiti."
  • 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_69ca843884488190ad6cbe0153088234 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7ee1c8c48190a2ae8673eee07e9a completed April 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d11053d8008190a29575149d2e027f completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d111a770c881909a2902d36cd7913c completed April 4, 2026, 1:27 p.m.
NED2 Entity disambiguation (via description) batch_69d112643f948190a70e60c790e7cb5d completed April 4, 2026, 1:30 p.m.
Created at: March 30, 2026, 7:50 p.m.