Triple

T15210277
Position Surface form Disambiguated ID Type / Status
Subject Èze E363495 entity
Predicate hasPart P35 FINISHED
Object Èze-Village
Èze-Village is a picturesque medieval hilltop village on the French Riviera, renowned for its narrow cobbled streets, stone houses, and panoramic views of the Mediterranean Sea.
E1144068 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: Èze-Village | Statement: [Èze, hasPart, Èze-Village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Èze-Village
Context triple: [Èze, hasPart, Èze-Village]
  • A. Villalet
    Villalet is a small locality situated within the canton of Breteuil in northern France.
  • B. Simplon village
    Simplon village is a small Swiss settlement in the canton of Valais, located in the Alps near the Simplon Pass and close to the Monte Leone massif.
  • C. La Sarraz
    La Sarraz is a small town in the canton of Vaud, Switzerland, known for its historic castle and role as a cultural and intellectual meeting place.
  • D. Vallette
    Vallette is a district in Turin, Italy, known for hosting the modern Allianz Stadium, home of the Juventus football club.
  • E. Villaraboud
    Villaraboud is a small municipality located in the Glâne District of the canton of Fribourg in western Switzerland.
  • 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: Èze-Village
Triple: [Èze, hasPart, Èze-Village]
Generated description
Èze-Village is a picturesque medieval hilltop village on the French Riviera, renowned for its narrow cobbled streets, stone houses, and panoramic views of the Mediterranean Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Èze-Village
Target entity description: Èze-Village is a picturesque medieval hilltop village on the French Riviera, renowned for its narrow cobbled streets, stone houses, and panoramic views of the Mediterranean Sea.
  • A. Villalet
    Villalet is a small locality situated within the canton of Breteuil in northern France.
  • B. Simplon village
    Simplon village is a small Swiss settlement in the canton of Valais, located in the Alps near the Simplon Pass and close to the Monte Leone massif.
  • C. La Sarraz
    La Sarraz is a small town in the canton of Vaud, Switzerland, known for its historic castle and role as a cultural and intellectual meeting place.
  • D. Vallette
    Vallette is a district in Turin, Italy, known for hosting the modern Allianz Stadium, home of the Juventus football club.
  • E. Villaraboud
    Villaraboud is a small municipality located in the Glâne District of the canton of Fribourg in western Switzerland.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0076ad4ec81908d36f541fca08d72 completed April 15, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed33f9abc8190bf8166c1fd9fcac6 completed May 9, 2026, 6:25 a.m.
NEDg Description generation batch_69fed7b95124819097783740d9990e75 completed May 9, 2026, 6:44 a.m.
NED2 Entity disambiguation (via description) batch_69fed84f6a888190afd2d0cf2ba9d3a2 completed May 9, 2026, 6:46 a.m.
Created at: April 10, 2026, 3:11 a.m.