Triple

T2814116
Position Surface form Disambiguated ID Type / Status
Subject Veyrier E54241 entity
Predicate borderWith P224 FINISHED
Object Étrembières
Étrembières is a commune in southeastern France’s Haute-Savoie department, located near Geneva along the French-Swiss border.
 E308509 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: Étrembières | Statement: [Veyrier, borderWith, Étrembières]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Étrembières
Context triple: [Veyrier, borderWith, Étrembières]
  • A. Fléron
    Fléron is a municipality in eastern Belgium located in the Walloon region’s Province of Liège.
  • B. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • C. Éveux
    Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
  • D. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • E. Cigales
    Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
  • 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: Étrembières
Triple: [Veyrier, borderWith, Étrembières]
Generated description
Étrembières is a commune in southeastern France’s Haute-Savoie department, located near Geneva along the French-Swiss border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Étrembières
Target entity description: Étrembières is a commune in southeastern France’s Haute-Savoie department, located near Geneva along the French-Swiss border.
  • A. Fléron
    Fléron is a municipality in eastern Belgium located in the Walloon region’s Province of Liège.
  • B. Vallauris
    Vallauris is a town in the French Riviera renowned for its pottery tradition and its association with Pablo Picasso, who lived and worked there for several years.
  • C. Éveux
    Éveux is a small commune in eastern France’s Rhône department, known for hosting Le Corbusier’s modernist monastery, the Couvent Sainte-Marie de La Tourette.
  • D. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • E. Cigales
    Cigales is a small town in the province of Valladolid, Spain, known historically as a royal residence and for its wine production.
  • 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_69ab49de0af08190b3da69683be1e728 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde4ba34c819085a336498fc326b0 completed March 7, 2026, 8:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03127f0808190841fa2572baaf5a7 completed March 10, 2026, 2:56 p.m.
NEDg Description generation batch_69b0350e36688190ba9b37486fbe5bcb completed March 10, 2026, 3:13 p.m.
NED2 Entity disambiguation (via description) batch_69b0390cb17c81909ca357726b20de35 completed March 10, 2026, 3:30 p.m.
Created at: March 6, 2026, 9:59 p.m.