Triple

T10594502
Position Surface form Disambiguated ID Type / Status
Subject La Venoge E250074 entity
Predicate flowsThrough P225 FINISHED
Object Bremblens
Bremblens is a small municipality in the canton of Vaud in western Switzerland.
 E873461 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: Bremblens | Statement: [La Venoge, flowsThrough, Bremblens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bremblens
Context triple: [La Venoge, flowsThrough, Bremblens]
  • A. Brenz
    The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
  • B. Bilson
    Bilson is a surname shared by various notable individuals, including figures in entertainment, sports, and other public fields.
  • C. Blix
    Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
  • D. Blix
    Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
  • E. Bunzl
    Bunzl is a surname of likely Central or Eastern European origin borne by various individuals, including people in creative and professional fields.
  • 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: Bremblens
Triple: [La Venoge, flowsThrough, Bremblens]
Generated description
Bremblens is a small municipality in the canton of Vaud in western Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bremblens
Target entity description: Bremblens is a small municipality in the canton of Vaud in western Switzerland.
  • A. Brenz
    The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
  • B. Bilson
    Bilson is a surname shared by various notable individuals, including figures in entertainment, sports, and other public fields.
  • C. Blix
    Blix is a Swedish surname most notably associated with Hans Blix, the former head of the International Atomic Energy Agency and UN weapons inspector.
  • D. Blix
    Blix is a 19th-century novel by American naturalist writer Frank Norris that follows a young woman’s coming-of-age and romantic experiences in San Francisco.
  • E. Bunzl
    Bunzl is a surname of likely Central or Eastern European origin borne by various individuals, including people in creative and professional fields.
  • 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_69d381c9d3d48190a29ee491e1696a0e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5278bacd88190a50dedfa59b622fc completed April 7, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d95e8de2e88190835954abb2ac2ece completed April 10, 2026, 8:33 p.m.
NEDg Description generation batch_69d95f80d0c48190b88e3a4b3e42279c completed April 10, 2026, 8:37 p.m.
NED2 Entity disambiguation (via description) batch_69d9602a1d688190ad0f3014d69049cc completed April 10, 2026, 8:40 p.m.
Created at: April 6, 2026, 12:41 p.m.