Triple

T37535664
Position Surface form Disambiguated ID Type / Status
Subject Borgo San Lorenzo E933187 entity
Predicate hasLandmark P105 FINISHED
Object Chiesa di San Francesco a Ronta
Chiesa di San Francesco a Ronta is a historic Roman Catholic church dedicated to Saint Francis, located in the village of Ronta in the Tuscan municipality of Borgo San Lorenzo, Italy.
E2230702 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: Chiesa di San Francesco a Ronta | Statement: [Borgo San Lorenzo, hasLandmark, Chiesa di San Francesco a Ronta]
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: Chiesa di San Francesco a Ronta
Triple: [Borgo San Lorenzo, hasLandmark, Chiesa di San Francesco a Ronta]
Generated description
Chiesa di San Francesco a Ronta is a historic Roman Catholic church dedicated to Saint Francis, located in the village of Ronta in the Tuscan municipality of Borgo San Lorenzo, Italy.

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_69f76ec999288190ae26ec7b6aea7046 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fba3fac40081909b364a44b1756bb7 completed May 6, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40954abdbc8190ba1e0c4543b29404 completed June 28, 2026, 3:30 a.m.
NEDg Description generation batch_6a4096691bf88190b88d47fe76576953 completed June 28, 2026, 3:35 a.m.
NED2 Entity disambiguation (via description) batch_6a4096e66a708190ac9cec52f9372283 completed June 28, 2026, 3:37 a.m.
Created at: May 3, 2026, 4:17 p.m.