Triple

T23229549
Position Surface form Disambiguated ID Type / Status
Subject Hechingen E581111 entity
Predicate hasSubdivision P747 FINISHED
Object Beuren
Beuren is a village and district of the town of Hechingen in the Zollernalbkreis region of Baden-Württemberg, Germany.
E1578880 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: Beuren | Statement: [Hechingen, hasSubdivision, Beuren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beuren
Context triple: [Hechingen, hasSubdivision, Beuren]
  • A. Boonenberg
    Boonenberg is a famed cobbled climb in the Tour of Flanders, nicknamed for Belgian cyclist Tom Boonen due to his repeated dominance on it.
  • B. Buysscheure
    Buysscheure is a small commune in northern France’s Nord department, known as the area where the Yser River originates.
  • C. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • D. Beuningen
    Beuningen is a municipality and town in the Dutch province of Gelderland, located near the city of Nijmegen in the eastern Netherlands.
  • E. Beerta
    Beerta is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
  • 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: Beuren
Triple: [Hechingen, hasSubdivision, Beuren]
Generated description
Beuren is a village and district of the town of Hechingen in the Zollernalbkreis region of Baden-Württemberg, Germany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Beuren
Target entity description: Beuren is a village and district of the town of Hechingen in the Zollernalbkreis region of Baden-Württemberg, Germany.
  • A. Boonenberg
    Boonenberg is a famed cobbled climb in the Tour of Flanders, nicknamed for Belgian cyclist Tom Boonen due to his repeated dominance on it.
  • B. Buysscheure
    Buysscheure is a small commune in northern France’s Nord department, known as the area where the Yser River originates.
  • C. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • D. Beuningen
    Beuningen is a municipality and town in the Dutch province of Gelderland, located near the city of Nijmegen in the eastern Netherlands.
  • E. Beerta
    Beerta is a village in the municipality of Oldambt in the province of Groningen in the northeastern Netherlands.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f1923131c081909c6e84b1a0c32e0d completed April 29, 2026, 5:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3f55c95081909db75c19bc905c93 completed May 19, 2026, 10:45 a.m.
NEDg Description generation batch_6a0c4028b44c8190bde6e2c76b5f1587 completed May 19, 2026, 10:49 a.m.
NED2 Entity disambiguation (via description) batch_6a0c4367753c8190a4f6dbf2afd12b76 completed May 19, 2026, 11:03 a.m.
Created at: April 17, 2026, 4:09 p.m.