Triple

T3386507
Position Surface form Disambiguated ID Type / Status
Subject Pont-Aven E71314 entity
Predicate hasDemonym P191 FINISHED
Object Pontavenais
Pontavenais is the French demonym for inhabitants of the town of Pont-Aven in Brittany.
 E352513 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: Pontavenais | Statement: [Pont-Aven, hasDemonym, Pontavenais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pontavenais
Context triple: [Pont-Aven, hasDemonym, Pontavenais]
  • A. Pontivy
    Pontivy is a historic town in the Morbihan department of Brittany in northwestern France, known for its medieval center and Napoleonic-era architecture along the Blavet River.
  • B. Vavin
    Vavin is a Paris Métro station in the 6th arrondissement, serving the Montparnasse and Jardin du Luxembourg area.
  • C. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • D. Arlay
    Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
  • E. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • 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: Pontavenais
Triple: [Pont-Aven, hasDemonym, Pontavenais]
Generated description
Pontavenais is the French demonym for inhabitants of the town of Pont-Aven in Brittany.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pontavenais
Target entity description: Pontavenais is the French demonym for inhabitants of the town of Pont-Aven in Brittany.
  • A. Pontivy
    Pontivy is a historic town in the Morbihan department of Brittany in northwestern France, known for its medieval center and Napoleonic-era architecture along the Blavet River.
  • B. Vavin
    Vavin is a Paris Métro station in the 6th arrondissement, serving the Montparnasse and Jardin du Luxembourg area.
  • C. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • D. Arlay
    Arlay is a historic locality in eastern France that served as the principal seat of the noble House of Chalon-Arlay.
  • E. La Baille
    La Baille is the traditional nickname for the French Naval Academy, the institution responsible for training officers of the French Navy.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb662d190819085b211dac85a83b2 completed March 8, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33455ae2481908e6478cb240b31c1 completed March 12, 2026, 9:47 p.m.
NEDg Description generation batch_69b334f80db88190a04b3bee20451424 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3355f4f0481909c9f3461eab6b72c completed March 12, 2026, 9:51 p.m.
Created at: March 8, 2026, 3:14 p.m.