Triple

T25116308
Position Surface form Disambiguated ID Type / Status
Subject Tolentino E629136 entity
Predicate hasLandmark P105 FINISHED
Object Basilica of San Nicola
The Basilica of San Nicola is a prominent Roman Catholic church and pilgrimage site in Tolentino, Italy, dedicated to Saint Nicholas of Tolentino and renowned for its religious significance and historic art.
E1670919 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: Basilica of San Nicola | Statement: [Tolentino, hasLandmark, Basilica of San Nicola]
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: Basilica of San Nicola
Triple: [Tolentino, hasLandmark, Basilica of San Nicola]
Generated description
The Basilica of San Nicola is a prominent Roman Catholic church and pilgrimage site in Tolentino, Italy, dedicated to Saint Nicholas of Tolentino and renowned for its religious significance and historic art.

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_69e2ff3169d08190973b6061d5009abd completed April 18, 2026, 3:49 a.m.
NER Named-entity recognition batch_69f465c7b88c81909fefbf647d1b810d completed May 1, 2026, 8:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a1067bb36d081909cd7c7ca35ea344d completed May 22, 2026, 2:27 p.m.
NEDg Description generation batch_6a1068d5ff248190b9efb77366147c26 completed May 22, 2026, 2:31 p.m.
NED2 Entity disambiguation (via description) batch_6a1069d0ba8c81908b38818567784552 completed May 22, 2026, 2:36 p.m.
Created at: April 18, 2026, 6:27 a.m.