Triple

T18919272
Position Surface form Disambiguated ID Type / Status
Subject Domfront E462802 entity
Predicate demonym P191 FINISHED
Object Domfrontais
Domfrontais is the French term for an inhabitant or native of the town of Domfront in northwestern France.
 E1349949 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: Domfrontais | Statement: [Domfront, demonym, Domfrontais]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Domfrontais
Context triple: [Domfront, demonym, Domfrontais]
  • A. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • B. Hauts-Forts
    Hauts-Forts is a prominent mountain peak in the French Alps, known for its rugged terrain and popularity among hikers and skiers.
  • C. Fontenoille
    Fontenoille is a village in the municipality of Florenville in the Walloon region of southern Belgium.
  • D. Fins Bois
    Fins Bois is a Cognac cru in the Charente region of France known for producing round, fruity eaux-de-vie that mature relatively quickly.
  • E. La Plaine
    La Plaine is a village in the canton of Geneva, Switzerland, situated near the French border and served as a terminus by the regional railway network.
  • 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: Domfrontais
Triple: [Domfront, demonym, Domfrontais]
Generated description
Domfrontais is the French term for an inhabitant or native of the town of Domfront in northwestern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Domfrontais
Target entity description: Domfrontais is the French term for an inhabitant or native of the town of Domfront in northwestern France.
  • A. Bressant
    Bressant is a novel by American author Julian Hawthorne, known as one of his early works in 19th-century fiction.
  • B. Hauts-Forts
    Hauts-Forts is a prominent mountain peak in the French Alps, known for its rugged terrain and popularity among hikers and skiers.
  • C. Fontenoille
    Fontenoille is a village in the municipality of Florenville in the Walloon region of southern Belgium.
  • D. Fins Bois
    Fins Bois is a Cognac cru in the Charente region of France known for producing round, fruity eaux-de-vie that mature relatively quickly.
  • E. La Plaine
    La Plaine is a village in the canton of Geneva, Switzerland, situated near the French border and served as a terminus by the regional railway network.
  • 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_69d8dcfdbbb881909964fa5a75bd0b48 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c629527481909dad169f07df0da4 completed April 20, 2026, 6:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0591165cbc8190a0aafbd6611c8095 completed May 14, 2026, 9:08 a.m.
NEDg Description generation batch_6a05965ab9a081909e430d9bef63c820 completed May 14, 2026, 9:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0596c2ee4c8190b3b4db9afa4d1bed completed May 14, 2026, 9:32 a.m.
Created at: April 10, 2026, 11:59 a.m.