Triple

T35874456
Position Surface form Disambiguated ID Type / Status
Subject Jazz sous les pommiers E1037320 entity
Predicate organizer P123 FINISHED
Object Ville de Coutances
Ville de Coutances is a French municipal authority in Normandy known for its cultural initiatives, including hosting major events such as the Jazz sous les pommiers festival.
E2166919 NE FINISHED

How this triple was built (2 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: Ville de Coutances | Statement: [Jazz sous les pommiers, organizer, Ville de Coutances]
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: Ville de Coutances
Triple: [Jazz sous les pommiers, organizer, Ville de Coutances]
Generated description
Ville de Coutances is a French municipal authority in Normandy known for its cultural initiatives, including hosting major events such as the Jazz sous les pommiers festival.

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_69f76e1e701c8190a4990d4978ce4fe6 completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a9cecbcc81908f354e76f7f06e0b completed May 3, 2026, 8:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38cb7d012c8190923f4d8b63440f5d completed June 22, 2026, 5:43 a.m.
NEDg Description generation batch_6a38cd0a7b708190afd70d66d8aa7d6d completed June 22, 2026, 5:50 a.m.
NED2 Entity disambiguation (via description) batch_6a38cd8cf4708190a141ec08f61a6087 completed June 22, 2026, 5:52 a.m.
Created at: May 3, 2026, 4:06 p.m.