Triple

T6114059
Position Surface form Disambiguated ID Type / Status
Subject Boudry E136315 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Milvignes
Milvignes is a municipality in the canton of Neuchâtel in western Switzerland, formed by the merger of several former communes along the shores of Lake Neuchâtel.
 E568219 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: Milvignes | Statement: [Boudry, hasNeighboringMunicipality, Milvignes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Milvignes
Context triple: [Boudry, hasNeighboringMunicipality, Milvignes]
  • A. Martlets
    Martlets is the name of McGill University's women's varsity sports teams, known for their strong athletic tradition in Canadian university sports.
  • B. Murg
    The Murg is a river in Germany’s Black Forest region, known for its steep valleys, hydroelectric use, and scenic landscapes.
  • C. Poulus
    Poulus is a personal name variant derived from the given name Poul.
  • D. Mollerussa
    Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
  • E. Sparviero
    Sparviero is the Italian nickname for the Savoia-Marchetti SM.79, a World War II-era three-engined medium bomber and torpedo bomber used prominently by the Italian Air Force.
  • 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: Milvignes
Triple: [Boudry, hasNeighboringMunicipality, Milvignes]
Generated description
Milvignes is a municipality in the canton of Neuchâtel in western Switzerland, formed by the merger of several former communes along the shores of Lake Neuchâtel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Milvignes
Target entity description: Milvignes is a municipality in the canton of Neuchâtel in western Switzerland, formed by the merger of several former communes along the shores of Lake Neuchâtel.
  • A. Martlets
    Martlets is the name of McGill University's women's varsity sports teams, known for their strong athletic tradition in Canadian university sports.
  • B. Murg
    The Murg is a river in Germany’s Black Forest region, known for its steep valleys, hydroelectric use, and scenic landscapes.
  • C. Poulus
    Poulus is a personal name variant derived from the given name Poul.
  • D. Mollerussa
    Mollerussa is a small town in the province of Lleida, Catalonia, Spain, known for its agricultural surroundings and regional commercial services.
  • E. Sparviero
    Sparviero is the Italian nickname for the Savoia-Marchetti SM.79, a World War II-era three-engined medium bomber and torpedo bomber used prominently by the Italian Air Force.
  • 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_69c0089ea6f88190b349be53e04b4f5f completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05bbf2ee4819097af2cce9248bf4e completed March 22, 2026, 9:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69c12566fb908190bb9c27fe64f618cd completed March 23, 2026, 11:35 a.m.
NEDg Description generation batch_69c126dd44888190b20a02ede3705918 completed March 23, 2026, 11:41 a.m.
NED2 Entity disambiguation (via description) batch_69c1276a279c8190a6833c8c986e1291 completed March 23, 2026, 11:43 a.m.
Created at: March 22, 2026, 4:14 p.m.