Triple

T9557751
Position Surface form Disambiguated ID Type / Status
Subject Baronie of Breda E230583 entity
Predicate hasPart P35 FINISHED
Object Ulvenhout
Ulvenhout is a village in the southern Netherlands, located near the city of Breda in the province of North Brabant.
E806437 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: Ulvenhout | Statement: [Baronie of Breda, hasPart, Ulvenhout]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ulvenhout
Context triple: [Baronie of Breda, hasPart, Ulvenhout]
  • A. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • B. Emigholz
    Emigholz is a German surname most notably associated with filmmaker and artist Heinz Emigholz.
  • C. Emmerdennen forest
    Emmerdennen forest is a wooded nature area near Emmen in the Netherlands, known for its walking trails and prehistoric burial mounds.
  • D. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • E. Strid Wood
    Strid Wood is a scenic ancient woodland in North Yorkshire, England, known for its riverside walks along the River Wharfe and rich wildlife near Bolton Abbey.
  • 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: Ulvenhout
Triple: [Baronie of Breda, hasPart, Ulvenhout]
Generated description
Ulvenhout is a village in the southern Netherlands, located near the city of Breda in the province of North Brabant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ulvenhout
Target entity description: Ulvenhout is a village in the southern Netherlands, located near the city of Breda in the province of North Brabant.
  • A. Kestenholz
    Kestenholz is a municipality in the canton of Solothurn in Switzerland, located in the Gäu district.
  • B. Emigholz
    Emigholz is a German surname most notably associated with filmmaker and artist Heinz Emigholz.
  • C. Emmerdennen forest
    Emmerdennen forest is a wooded nature area near Emmen in the Netherlands, known for its walking trails and prehistoric burial mounds.
  • D. Riedholz
    Riedholz is a small Swiss municipality located in the canton of Solothurn.
  • E. Strid Wood
    Strid Wood is a scenic ancient woodland in North Yorkshire, England, known for its riverside walks along the River Wharfe and rich wildlife near Bolton Abbey.
  • 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_69ca847e53a88190a60eed7e02257f10 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd99487b4c819086e02e29e37b593f completed April 1, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69d15296303c8190adda4b24036d9390 completed April 4, 2026, 6:04 p.m.
NEDg Description generation batch_69d1539bad8481909f9bd060aa3b651c completed April 4, 2026, 6:08 p.m.
NED2 Entity disambiguation (via description) batch_69d154567f408190a848eea4ca905fb6 completed April 4, 2026, 6:11 p.m.
Created at: March 30, 2026, 8:03 p.m.