Triple

T415177
Position Surface form Disambiguated ID Type / Status
Subject Auvergne-Rhône-Alpes E9576 entity
Predicate containsCity P294 FINISHED
Object Privas
Privas is a small town in southeastern France that serves as the prefecture (administrative capital) of the Ardèche department.
 E52557 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: Privas | Statement: [Auvergne-Rhône-Alpes, containsCity, Privas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Privas
Context triple: [Auvergne-Rhône-Alpes, containsCity, Privas]
  • A. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • B. Usk
    Usk is a small historic town in Monmouthshire, southeast Wales, known for its medieval castle and picturesque setting on the River Usk.
  • C. Kapor
    Kapor is the surname of Mitchell Kapor, an American entrepreneur best known for founding the software company Lotus Development Corporation.
  • D. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • E. Soter
    Soter is a Greek term meaning "savior" or "deliverer," often used as a title for deities or revered figures who provide salvation or protection.
  • 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: Privas
Triple: [Auvergne-Rhône-Alpes, containsCity, Privas]
Generated description
Privas is a small town in southeastern France that serves as the prefecture (administrative capital) of the Ardèche department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Privas
Target entity description: Privas is a small town in southeastern France that serves as the prefecture (administrative capital) of the Ardèche department.
  • A. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • B. Usk
    Usk is a small historic town in Monmouthshire, southeast Wales, known for its medieval castle and picturesque setting on the River Usk.
  • C. Kapor
    Kapor is the surname of Mitchell Kapor, an American entrepreneur best known for founding the software company Lotus Development Corporation.
  • D. Gweru
    Gweru is a central Zimbabwean city that serves as the capital of the Midlands Province and an important commercial and transportation hub.
  • E. Soter
    Soter is a Greek term meaning "savior" or "deliverer," often used as a title for deities or revered figures who provide salvation or protection.
  • 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_69a2e80111fc8190961d5b7c6154123f completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2ee8d835881908403ea23901e52b3 completed Feb. 28, 2026, 1:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69a41b4ce1648190b1f46ba33d7cf946 completed March 1, 2026, 10:56 a.m.
NEDg Description generation batch_69a41bc18b388190ae97d97656294e7b completed March 1, 2026, 10:58 a.m.
NED2 Entity disambiguation (via description) batch_69a422983e708190904cd891d3996338 completed March 1, 2026, 11:27 a.m.
Created at: Feb. 28, 2026, 1:09 p.m.