Triple

T4932849
Position Surface form Disambiguated ID Type / Status
Subject Basse-Terre E110737 entity
Predicate hasDemonym P191 FINISHED
Object Basse-Terrien
Basse-Terrien is a resident or native of Basse-Terre, the capital city of the French overseas region of Guadeloupe in the Caribbean.
 E481883 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: Basse-Terrien | Statement: [Basse-Terre, hasDemonym, Basse-Terrien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Basse-Terrien
Context triple: [Basse-Terre, hasDemonym, Basse-Terrien]
  • A. Grandes-Carrières
    Grandes-Carrières is a residential neighborhood in the 18th arrondissement of Paris, known for its proximity to Montmartre and its mix of historic and modern urban character.
  • B. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • C. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • D. Dombes
    Dombes is a historic rural region in eastern France known for its many ponds, wetlands, and traditional fish farming.
  • E. Nantouillet
    Nantouillet is a small rural commune in the Seine-et-Marne department in the Île-de-France region of north-central 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: Basse-Terrien
Triple: [Basse-Terre, hasDemonym, Basse-Terrien]
Generated description
Basse-Terrien is a resident or native of Basse-Terre, the capital city of the French overseas region of Guadeloupe in the Caribbean.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Basse-Terrien
Target entity description: Basse-Terrien is a resident or native of Basse-Terre, the capital city of the French overseas region of Guadeloupe in the Caribbean.
  • A. Grandes-Carrières
    Grandes-Carrières is a residential neighborhood in the 18th arrondissement of Paris, known for its proximity to Montmartre and its mix of historic and modern urban character.
  • B. Brionnais
    Brionnais is a historic rural region in eastern France known for its Romanesque churches, traditional stone villages, and Charolais cattle farming.
  • C. Tignère
    Tignère is a town and commune located in Cameroon's Adamawa Region, known for its highland setting and role as a local administrative and trading center.
  • D. Dombes
    Dombes is a historic rural region in eastern France known for its many ponds, wetlands, and traditional fish farming.
  • E. Nantouillet
    Nantouillet is a small rural commune in the Seine-et-Marne department in the Île-de-France region of north-central 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70652d988190ba4a493db510952e completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be77b41c4c8190b4f714334242bc9b completed March 21, 2026, 10:49 a.m.
NEDg Description generation batch_69be7b9611a881908e83086719406145 completed March 21, 2026, 11:05 a.m.
NED2 Entity disambiguation (via description) batch_69be7ce630248190b274547eaa15fe85 completed March 21, 2026, 11:11 a.m.
Created at: March 20, 2026, 1:30 p.m.