Triple

T2840944
Position Surface form Disambiguated ID Type / Status
Subject Ardèche E62464 entity
Predicate hasMajorTown P316 FINISHED
Object Aubenas
Aubenas is a historic market town in southern France known for its medieval castle and role as a commercial center of the Ardèche region.
 E304556 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: Aubenas | Statement: [Ardèche, hasMajorTown, Aubenas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Aubenas
Context triple: [Ardèche, hasMajorTown, Aubenas]
  • A. Gouvy
    Gouvy is a rural municipality in the Belgian province of Luxembourg, known for its natural landscapes and proximity to the Ardennes region.
  • B. Maurepas
    Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
  • C. 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.
  • D. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • E. Monthélie
    Monthélie is a small wine-producing village in Burgundy’s Côte de Beaune, known for its elegant red and white wines made primarily from Pinot Noir and Chardonnay.
  • 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: Aubenas
Triple: [Ardèche, hasMajorTown, Aubenas]
Generated description
Aubenas is a historic market town in southern France known for its medieval castle and role as a commercial center of the Ardèche region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Aubenas
Target entity description: Aubenas is a historic market town in southern France known for its medieval castle and role as a commercial center of the Ardèche region.
  • A. Gouvy
    Gouvy is a rural municipality in the Belgian province of Luxembourg, known for its natural landscapes and proximity to the Ardennes region.
  • B. Maurepas
    Maurepas is a commune in the Yvelines department in the Île-de-France region of north-central France, known as a residential suburb southwest of Paris.
  • C. 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.
  • D. Patouès
    Patouès is a regional Romance dialect of the Franco-Provençal language traditionally spoken in parts of France, Switzerland, and Italy.
  • E. Monthélie
    Monthélie is a small wine-producing village in Burgundy’s Côte de Beaune, known for its elegant red and white wines made primarily from Pinot Noir and Chardonnay.
  • 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_69ab4c3d16bc81908b3a1c98fbd287fe completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf16d0c08190bb8de4a4160b4414 completed March 7, 2026, 8:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8d22e588190b119e7d9f9c3873a completed March 10, 2026, 9:48 a.m.
NEDg Description generation batch_69afea1732b481909a8df01d80ca1bd4 completed March 10, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69b00eff94b481909a4cc08c8494870c completed March 10, 2026, 12:30 p.m.
Created at: March 6, 2026, 10:01 p.m.