Triple

T24821080
Position Surface form Disambiguated ID Type / Status
Subject Church of San Carlo ai Catinari, Rome E621064 entity
Predicate proximityTo P350 FINISHED
Object Piazza Benedetto Cairoli
Piazza Benedetto Cairoli is a small historic square in central Rome, Italy, known for its gardened center and location near several notable Baroque churches and landmarks.
E1720233 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: Piazza Benedetto Cairoli | Statement: [Church of San Carlo ai Catinari, Rome, proximityTo, Piazza Benedetto Cairoli]
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: Piazza Benedetto Cairoli
Triple: [Church of San Carlo ai Catinari, Rome, proximityTo, Piazza Benedetto Cairoli]
Generated description
Piazza Benedetto Cairoli is a small historic square in central Rome, Italy, known for its gardened center and location near several notable Baroque churches and landmarks.

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_69e2fabfd4648190bd0e5c7f4dbb6cab completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f42297fe00819087f0b7d666b7938a completed May 1, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a119a15579c81908d9b373767f7fc08 completed May 23, 2026, 12:14 p.m.
NEDg Description generation batch_6a119abb744c8190be56b28fc5f9a642 completed May 23, 2026, 12:16 p.m.
NED2 Entity disambiguation (via description) batch_6a119b8de8e08190bcde7ef4efcf64a6 completed May 23, 2026, 12:20 p.m.
Created at: April 18, 2026, 5:04 a.m.