Triple

T13589278
Position Surface form Disambiguated ID Type / Status
Subject Le Croisic E324648 entity
Predicate hasHeritageDesignation P921 FINISHED
Object Petite Cité de Caractère
Petite Cité de Caractère is a French heritage label awarded to small towns of notable historical, architectural, and cultural character.
 E1048340 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: Petite Cité de Caractère | Statement: [Le Croisic, hasHeritageDesignation, Petite Cité de Caractère]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Petite Cité de Caractère
Context triple: [Le Croisic, hasHeritageDesignation, Petite Cité de Caractère]
  • A. Ville de Printemps
    Ville de Printemps is a coastal district of the seaside resort town of Arcachon in southwestern France, known for its beaches and holiday atmosphere.
  • B. Les Places
    Les Places is a small commune in the Eure department of the Normandy region in northern France.
  • C. Cité
    Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
  • D. Nice‑Ville
    Nice‑Ville is the main railway station in Nice, France, serving as a key hub for regional, national, and international train connections.
  • E. Town of Paris
    The Town of Paris is a small rural municipality located in Kenosha County, Wisconsin, known for its agricultural landscape and quiet residential character.
  • 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: Petite Cité de Caractère
Triple: [Le Croisic, hasHeritageDesignation, Petite Cité de Caractère]
Generated description
Petite Cité de Caractère is a French heritage label awarded to small towns of notable historical, architectural, and cultural character.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Petite Cité de Caractère
Target entity description: Petite Cité de Caractère is a French heritage label awarded to small towns of notable historical, architectural, and cultural character.
  • A. Ville de Printemps
    Ville de Printemps is a coastal district of the seaside resort town of Arcachon in southwestern France, known for its beaches and holiday atmosphere.
  • B. Les Places
    Les Places is a small commune in the Eure department of the Normandy region in northern France.
  • C. Cité
    Cité is a Paris Métro station located on the Île de la Cité in the historic center of Paris.
  • D. Nice‑Ville
    Nice‑Ville is the main railway station in Nice, France, serving as a key hub for regional, national, and international train connections.
  • E. Town of Paris
    The Town of Paris is a small rural municipality located in Kenosha County, Wisconsin, known for its agricultural landscape and quiet residential character.
  • 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_69d80769100c819099111274614f5ed2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb055cc98819091fab597b69e5e3e completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f76bc347b881908267455f3bdd50e8 completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77642e4b881909915c686a0d6c6fa completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7791add908190af69b23a54eb7560 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:49 p.m.