Triple

T3498159
Position Surface form Disambiguated ID Type / Status
Subject Alpes-Maritimes E73900 entity
Predicate containsCity P294 FINISHED
Object Sospel
Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
E362734 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: Sospel | Statement: [Alpes-Maritimes, containsCity, Sospel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sospel
Context triple: [Alpes-Maritimes, containsCity, Sospel]
  • A. Sovana
    Sovana is a small medieval village in southern Tuscany, Italy, renowned for its well-preserved historic center and nearby Etruscan archaeological sites.
  • B. Sparanero
    Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
  • C. Petosega
    Petosega is a family name most notably associated with Chief Ignatius Petosega, a historical Indigenous leader.
  • D. Semprún
    Semprún is the surname of Jorge Semprún, the Spanish-born writer, politician, and Holocaust survivor known for his works on exile, memory, and totalitarianism.
  • E. Petorca
    Petorca is a town and commune in central Chile’s Valparaíso Region, known historically for agriculture and more recently for conflicts over water scarcity.
  • 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: Sospel
Triple: [Alpes-Maritimes, containsCity, Sospel]
Generated description
Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sospel
Target entity description: Sospel is a historic village in southeastern France near the Italian border, known for its medieval architecture and picturesque setting in the Maritime Alps.
  • A. Sovana
    Sovana is a small medieval village in southern Tuscany, Italy, renowned for its well-preserved historic center and nearby Etruscan archaeological sites.
  • B. Sparanero
    Sparanero is the Italian family name of renowned actor Franco Nero, known for his iconic roles in Spaghetti Westerns and international cinema.
  • C. Petosega
    Petosega is a family name most notably associated with Chief Ignatius Petosega, a historical Indigenous leader.
  • D. Semprún
    Semprún is the surname of Jorge Semprún, the Spanish-born writer, politician, and Holocaust survivor known for his works on exile, memory, and totalitarianism.
  • E. Petorca
    Petorca is a town and commune in central Chile’s Valparaíso Region, known historically for agriculture and more recently for conflicts over water scarcity.
  • 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_69ad85cdb6e48190a335d412b9194ed8 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbd299ec8190b76b165b2fd70537 completed March 8, 2026, 6:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373d011c0819088245afe03be3c44 completed March 13, 2026, 2:17 a.m.
NEDg Description generation batch_69b3745c7304819085a47af79cd738c0 completed March 13, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b374f5999c8190ae48570a412dc6dc completed March 13, 2026, 2:22 a.m.
Created at: March 8, 2026, 3:18 p.m.