Triple

T7916069
Position Surface form Disambiguated ID Type / Status
Subject Le Cannet E183830 entity
Predicate hasDemonym P191 FINISHED
Object Cannetane
Cannetane is the French demonym referring to an inhabitant or native of the town of Le Cannet in southeastern France.
 E702910 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: Cannetane | Statement: [Le Cannet, hasDemonym, Cannetane]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cannetane
Context triple: [Le Cannet, hasDemonym, Cannetane]
  • A. Falciano
    Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
  • B. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • C. Lucciana
    Lucciana is a commune in the Haute-Corse department of Corsica, France, known for hosting Bastia – Poretta Airport and its proximity to the island’s northeastern coast.
  • D. Carneia
    Carneia was an important ancient Spartan and Dorian festival in honor of Apollo, marked by rituals, music, and athletic contests that reflected both military and agricultural aspects of the community.
  • E. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • 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: Cannetane
Triple: [Le Cannet, hasDemonym, Cannetane]
Generated description
Cannetane is the French demonym referring to an inhabitant or native of the town of Le Cannet in southeastern France.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cannetane
Target entity description: Cannetane is the French demonym referring to an inhabitant or native of the town of Le Cannet in southeastern France.
  • A. Falciano
    Falciano is a village and civil parish in the Republic of San Marino, forming part of the municipality of Serravalle.
  • B. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • C. Lucciana
    Lucciana is a commune in the Haute-Corse department of Corsica, France, known for hosting Bastia – Poretta Airport and its proximity to the island’s northeastern coast.
  • D. Carneia
    Carneia was an important ancient Spartan and Dorian festival in honor of Apollo, marked by rituals, music, and athletic contests that reflected both military and agricultural aspects of the community.
  • E. Asculum
    Asculum was an important ancient city in central Italy, historically serving as the chief urban center of the Piceni people.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a76ae688190b068e4c92603a16d completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdffe21fc8190acffc2e92d13aa5d completed March 31, 2026, 2:53 p.m.
NEDg Description generation batch_69cbe30b7904819083050a00258287a4 completed March 31, 2026, 3:06 p.m.
NED2 Entity disambiguation (via description) batch_69cc327e60e08190a1dcf8f7a4542cf9 completed March 31, 2026, 8:45 p.m.
Created at: March 30, 2026, 5:05 p.m.