Triple

T17831100
Position Surface form Disambiguated ID Type / Status
Subject Sartène E445256 entity
Predicate locatedInSubregion P40 FINISHED
Object Sartenais
Sartenais is a rural microregion in southern Corsica, France, known for its rugged landscapes, vineyards, and traditional Corsican culture centered around the town of Sartène.
 E1291207 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: Sartenais | Statement: [Sartène, locatedInSubregion, Sartenais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sartenais
Context triple: [Sartène, locatedInSubregion, Sartenais]
  • A. Sampués
    Sampués is a municipality in northern Colombia known for its traditional Zenú indigenous culture and artisanal hat weaving.
  • B. Sarigan
    Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
  • C. Bessan
    Bessan is a commune in southern France, known for its historic village center and wine-producing countryside in the Hérault department.
  • D. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • E. Sebastiannaise
    Sebastiannaise is the French demonym referring to a female inhabitant of the town of Saint-Sébastien-sur-Loire in western France.
  • 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: Sartenais
Triple: [Sartène, locatedInSubregion, Sartenais]
Generated description
Sartenais is a rural microregion in southern Corsica, France, known for its rugged landscapes, vineyards, and traditional Corsican culture centered around the town of Sartène.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sartenais
Target entity description: Sartenais is a rural microregion in southern Corsica, France, known for its rugged landscapes, vineyards, and traditional Corsican culture centered around the town of Sartène.
  • A. Sampués
    Sampués is a municipality in northern Colombia known for its traditional Zenú indigenous culture and artisanal hat weaving.
  • B. Sarigan
    Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
  • C. Bessan
    Bessan is a commune in southern France, known for its historic village center and wine-producing countryside in the Hérault department.
  • D. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • E. Sebastiannaise
    Sebastiannaise is the French demonym referring to a female inhabitant of the town of Saint-Sébastien-sur-Loire in western France.
  • 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d248ecc8190b3f0d001b539d960 completed April 19, 2026, 8:07 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0306f656788190814c2659b53e98ae completed May 12, 2026, 10:54 a.m.
NEDg Description generation batch_6a0307af95bc819099ff1322c091d04a completed May 12, 2026, 10:57 a.m.
NED2 Entity disambiguation (via description) batch_6a0308a29f1081909a44c221aefb723c completed May 12, 2026, 11:01 a.m.
Created at: April 10, 2026, 10:15 a.m.