Triple

T12134663
Position Surface form Disambiguated ID Type / Status
Subject Thônes E289021 entity
Predicate hasDemonym P191 FINISHED
Object Thônains
Thônains are the inhabitants or natives of the French commune of Thônes in the Haute-Savoie department.
 E966705 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: Thônains | Statement: [Thônes, hasDemonym, Thônains]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thônains
Context triple: [Thônes, hasDemonym, Thônains]
  • A. Toormina
    Toormina is a coastal suburb in the Coffs Harbour region of New South Wales, Australia, known as a residential and commercial area near the beachside town of Sawtell.
  • B. Thann
    Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
  • C. Telnaes
    Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
  • D. Norrice
    Norrice is a given name or surname that functions as a variant form of the name Norris.
  • E. Dornod
    Dornod is a sparsely populated eastern province of Mongolia known for its vast steppe landscapes and strategic location bordering both Russia and China.
  • 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: Thônains
Triple: [Thônes, hasDemonym, Thônains]
Generated description
Thônains are the inhabitants or natives of the French commune of Thônes in the Haute-Savoie department.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thônains
Target entity description: Thônains are the inhabitants or natives of the French commune of Thônes in the Haute-Savoie department.
  • A. Toormina
    Toormina is a coastal suburb in the Coffs Harbour region of New South Wales, Australia, known as a residential and commercial area near the beachside town of Sawtell.
  • B. Thann
    Thann is a small historic town in northeastern France, located at the foot of the Vosges mountains in the Haut-Rhin department of Alsace.
  • C. Telnaes
    Telnaes is the surname of Ann Telnaes, a Pulitzer Prize–winning editorial cartoonist known for her incisive political commentary.
  • D. Norrice
    Norrice is a given name or surname that functions as a variant form of the name Norris.
  • E. Dornod
    Dornod is a sparsely populated eastern province of Mongolia known for its vast steppe landscapes and strategic location bordering both Russia and China.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158c59e0819094d4522a107482b2 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68eab98819086a480a90312c3fe completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6017f89d88190b766af7828794d87 completed May 2, 2026, 1:51 p.m.
NED2 Entity disambiguation (via description) batch_69f6023470248190ae9a96d140b28ac1 completed May 2, 2026, 1:55 p.m.
Created at: April 8, 2026, 9:49 p.m.