Triple

T27932957
Position Surface form Disambiguated ID Type / Status
Subject Sacro Monte di Varese E708031 entity
Predicate hasPart P35 FINISHED
Object chapel 14 of Sacro Monte di Varese
Chapel 14 of Sacro Monte di Varese is one of the devotional Baroque chapels along the sacred mount’s pilgrimage route, housing sculptural and painted scenes from the life of Christ.
E1824137 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: chapel 14 of Sacro Monte di Varese | Statement: [Sacro Monte di Varese, hasPart, chapel 14 of Sacro Monte di Varese]
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: chapel 14 of Sacro Monte di Varese
Triple: [Sacro Monte di Varese, hasPart, chapel 14 of Sacro Monte di Varese]
Generated description
Chapel 14 of Sacro Monte di Varese is one of the devotional Baroque chapels along the sacred mount’s pilgrimage route, housing sculptural and painted scenes from the life of Christ.

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_69ef96bbf2c48190a9d0e0291457aab6 completed April 27, 2026, 5:02 p.m.
NER Named-entity recognition batch_69f63a9df55c8190a658ebf04544109f completed May 2, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_6a1cb6c212e481908c8ddfb405192aba completed May 31, 2026, 10:31 p.m.
NEDg Description generation batch_6a1cb96552ec81909b935bb4b46913ec completed May 31, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_6a1cb9c3e8e88190bf5c5955adf18073 completed May 31, 2026, 10:44 p.m.
Created at: April 27, 2026, 7:04 p.m.