Triple

T36672446
Position Surface form Disambiguated ID Type / Status
Subject Mondaino E905453 entity
Predicate hasLandmark P105 FINISHED
Object Church of San Michele Arcangelo
The Church of San Michele Arcangelo is a historic Catholic church in Mondaino, Italy, dedicated to Saint Michael the Archangel and notable for its religious and artistic heritage.
E2194258 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: Church of San Michele Arcangelo | Statement: [Mondaino, hasLandmark, Church of San Michele Arcangelo]
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: Church of San Michele Arcangelo
Triple: [Mondaino, hasLandmark, Church of San Michele Arcangelo]
Generated description
The Church of San Michele Arcangelo is a historic Catholic church in Mondaino, Italy, dedicated to Saint Michael the Archangel and notable for its religious and artistic heritage.

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_69f76e6f10008190aea41746aa1b186e completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69f7c79fda8c8190993e6b056590b2db completed May 3, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3a20da0cd8819090b6c0d0df607128 completed June 23, 2026, 5:59 a.m.
NEDg Description generation batch_6a3a21fb6a2c8190b554fa1a6d7a28c2 completed June 23, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a3a2301ed048190826eaba7cfba00ed completed June 23, 2026, 6:09 a.m.
Created at: May 3, 2026, 4:12 p.m.