Triple

T3151861
Position Surface form Disambiguated ID Type / Status
Subject Antibes E65894 entity
Predicate hasPart P35 FINISHED
Object Cap d’Antibes
Cap d’Antibes is a scenic, wooded peninsula on the French Riviera known for its luxury villas, coastal paths, and exclusive seaside resorts.
 E65894 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: Cap d’Antibes | Statement: [Antibes, hasPart, Cap d’Antibes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cap d’Antibes
Context triple: [Antibes, hasPart, Cap d’Antibes]
  • A. Antibes
    Antibes is a historic resort town on the French Riviera known for its Mediterranean coastline, old town, and association with artists such as Pablo Picasso.
  • B. Fréjus
    Fréjus is a historic town and seaside resort on the French Riviera in southeastern France, known for its Roman ruins and Mediterranean coastline.
  • C. Frontignan
    Frontignan is a coastal commune in southern France known for its Muscat wine production and Mediterranean setting near Sète.
  • D. Leucate
    Leucate is a coastal commune in southern France known for its Mediterranean beaches, wind sports, and scenic limestone cliffs.
  • E. Le Cannet
    Le Cannet is a commune in the Alpes-Maritimes department of southeastern France, located just north of Cannes on the French Riviera.
  • 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: Cap d’Antibes
Triple: [Antibes, hasPart, Cap d’Antibes]
Generated description
Cap d’Antibes is a scenic, wooded peninsula on the French Riviera known for its luxury villas, coastal paths, and exclusive seaside resorts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cap d’Antibes
Target entity description: Cap d’Antibes is a scenic, wooded peninsula on the French Riviera known for its luxury villas, coastal paths, and exclusive seaside resorts.
  • A. Antibes chosen
    Antibes is a historic resort town on the French Riviera known for its Mediterranean coastline, old town, and association with artists such as Pablo Picasso.
  • B. Fréjus
    Fréjus is a historic town and seaside resort on the French Riviera in southeastern France, known for its Roman ruins and Mediterranean coastline.
  • C. Frontignan
    Frontignan is a coastal commune in southern France known for its Muscat wine production and Mediterranean setting near Sète.
  • D. Leucate
    Leucate is a coastal commune in southern France known for its Mediterranean beaches, wind sports, and scenic limestone cliffs.
  • E. Le Cannet
    Le Cannet is a commune in the Alpes-Maritimes department of southeastern France, located just north of Cannes on the French Riviera.
  • F. None of above.

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_69ad8584485081909ed529e890cadc4a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada5c27258819099c46a657779780b completed March 8, 2026, 4:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69b276edde308190b26ac47ae1a79ce1 completed March 12, 2026, 8:18 a.m.
NEDg Description generation batch_69b277a9ab548190a8b9822db2db3d0d completed March 12, 2026, 8:22 a.m.
NED2 Entity disambiguation (via description) batch_69b27b88c9648190a4a8271452d8ed3e completed March 12, 2026, 8:38 a.m.
Created at: March 8, 2026, 3:05 p.m.