Triple

T18449735
Position Surface form Disambiguated ID Type / Status
Subject Vendlincourt E450747 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Lugnez (France)
Lugnez is a small rural commune in northeastern France, situated near the Swiss border in the Jura region.
 E1325604 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: Lugnez (France) | Statement: [Vendlincourt, hasNeighboringMunicipality, Lugnez (France)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lugnez (France)
Context triple: [Vendlincourt, hasNeighboringMunicipality, Lugnez (France)]
  • A. Lezoux
    Lezoux is a commune in central France’s Puy-de-Dôme department, known historically for its significant Roman pottery production.
  • B. Boulzane
    Boulzane is a river in southern France that serves as a tributary of the Agly.
  • C. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • D. Valentigney, France
    Valentigney, France is a commune in the Bourgogne-Franche-Comté region of eastern France, historically known for its role in the early French automobile industry.
  • E. Reyssouze
    Reyssouze is a river in eastern France that flows through the Ain department and the town of Bourg-en-Bresse.
  • 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: Lugnez (France)
Triple: [Vendlincourt, hasNeighboringMunicipality, Lugnez (France)]
Generated description
Lugnez is a small rural commune in northeastern France, situated near the Swiss border in the Jura region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lugnez (France)
Target entity description: Lugnez is a small rural commune in northeastern France, situated near the Swiss border in the Jura region.
  • A. Lezoux
    Lezoux is a commune in central France’s Puy-de-Dôme department, known historically for its significant Roman pottery production.
  • B. Boulzane
    Boulzane is a river in southern France that serves as a tributary of the Agly.
  • C. Olbreuse
    Olbreuse is a small locality in western France historically notable as the ancestral seat of the noble d’Olbreuse family.
  • D. Valentigney, France
    Valentigney, France is a commune in the Bourgogne-Franche-Comté region of eastern France, historically known for its role in the early French automobile industry.
  • E. Reyssouze
    Reyssouze is a river in eastern France that flows through the Ain department and the town of Bourg-en-Bresse.
  • 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_69d8d38345688190b565eac2e4cd7935 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5264748dc8190984501af3e4b2036 completed April 19, 2026, 7 p.m.
NED1 Entity disambiguation (via context triple) batch_6a040fe3a8248190ab103d8e41141113 completed May 13, 2026, 5:45 a.m.
NEDg Description generation batch_6a041176a7e88190a38e3ace547212c2 completed May 13, 2026, 5:51 a.m.
NED2 Entity disambiguation (via description) batch_6a0412085b788190b4308f7ece1c7fa3 completed May 13, 2026, 5:54 a.m.
Created at: April 10, 2026, 11:30 a.m.