Triple

T4572871
Position Surface form Disambiguated ID Type / Status
Subject Agde E123074 entity
Predicate locatedNear P294 FINISHED
Object Cap d’Agde
Cap d’Agde is a Mediterranean seaside resort town in southern France, famous for its extensive beaches and large naturist village.
 E454084 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’Agde | Statement: [Agde, locatedNear, Cap d’Agde]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cap d’Agde
Context triple: [Agde, locatedNear, Cap d’Agde]
  • A. Leucate
    Leucate is a coastal commune in southern France known for its Mediterranean beaches, wind sports, and scenic limestone cliffs.
  • B. Argelès-sur-Mer
    Argelès-sur-Mer is a coastal resort town in southern France known for its long Mediterranean beaches and proximity to the Pyrenees.
  • C. La Grande-Motte
    La Grande-Motte is a seaside resort town on France’s Mediterranean coast, noted for its distinctive modernist pyramid-shaped architecture and beaches.
  • D. Marignane
    Marignane is a commune in southern France near Marseille, known for hosting Marseille Provence Airport and its proximity to the Mediterranean coast.
  • E. Le Beausset
    Le Beausset is a small commune in the Var department of southeastern France, near Toulon in the Provence-Alpes-Côte d'Azur region.
  • 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’Agde
Triple: [Agde, locatedNear, Cap d’Agde]
Generated description
Cap d’Agde is a Mediterranean seaside resort town in southern France, famous for its extensive beaches and large naturist village.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cap d’Agde
Target entity description: Cap d’Agde is a Mediterranean seaside resort town in southern France, famous for its extensive beaches and large naturist village.
  • A. Leucate
    Leucate is a coastal commune in southern France known for its Mediterranean beaches, wind sports, and scenic limestone cliffs.
  • B. Argelès-sur-Mer
    Argelès-sur-Mer is a coastal resort town in southern France known for its long Mediterranean beaches and proximity to the Pyrenees.
  • C. La Grande-Motte
    La Grande-Motte is a seaside resort town on France’s Mediterranean coast, noted for its distinctive modernist pyramid-shaped architecture and beaches.
  • D. Marignane
    Marignane is a commune in southern France near Marseille, known for hosting Marseille Provence Airport and its proximity to the Mediterranean coast.
  • E. Le Beausset
    Le Beausset is a small commune in the Var department of southeastern France, near Toulon in the Provence-Alpes-Côte d'Azur region.
  • 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_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58c711408190a2b096daf57e6eac completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3d709308190aeb6a71a9dabdd3c completed March 20, 2026, 11:10 p.m.
NEDg Description generation batch_69bdd49a9b2081909843c6c53ee1cbdc completed March 20, 2026, 11:13 p.m.
NED2 Entity disambiguation (via description) batch_69bdd513d36c81909958dabb1acbe094 completed March 20, 2026, 11:15 p.m.
Created at: March 20, 2026, 1:10 p.m.