Triple

T27097259
Position Surface form Disambiguated ID Type / Status
Subject La Brigue E686338 entity
Predicate contains P35 FINISHED
Object Sanctuary of Notre-Dame des Fontaines
The Sanctuary of Notre-Dame des Fontaines is a remote medieval pilgrimage chapel in the French Alps renowned for its extensive late-15th-century frescoes, often called the “Sistine Chapel of the Alps.”
E1759119 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: Sanctuary of Notre-Dame des Fontaines | Statement: [La Brigue, contains, Sanctuary of Notre-Dame des Fontaines]
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: Sanctuary of Notre-Dame des Fontaines
Triple: [La Brigue, contains, Sanctuary of Notre-Dame des Fontaines]
Generated description
The Sanctuary of Notre-Dame des Fontaines is a remote medieval pilgrimage chapel in the French Alps renowned for its extensive late-15th-century frescoes, often called the “Sistine Chapel of the Alps.”

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_69ef1489f8b481908e24a1985982bd26 completed April 27, 2026, 7:47 a.m.
NER Named-entity recognition batch_69f623b1d8b48190ae71d57f60d2e327 completed May 2, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1253714e8c81909433527ec6bc2962 completed May 24, 2026, 1:25 a.m.
NEDg Description generation batch_6a125433c0288190ab1e54c3d763468d completed May 24, 2026, 1:28 a.m.
NED2 Entity disambiguation (via description) batch_6a1254fc697c8190baf4f8adefcea4d2 completed May 24, 2026, 1:31 a.m.
Created at: April 27, 2026, 8:45 a.m.