Triple

T24516183
Position Surface form Disambiguated ID Type / Status
Subject Monte Compatri E606375 entity
Predicate hasReligiousBuilding P1191 FINISHED
Object Sanctuary of San Silvestro
The Sanctuary of San Silvestro is a historic Catholic shrine and pilgrimage church located in the hill town of Monte Compatri in the Lazio region of Italy.
E1643547 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: Sanctuary of San Silvestro | Statement: [Monte Compatri, hasReligiousBuilding, Sanctuary of San Silvestro]
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: Sanctuary of San Silvestro
Triple: [Monte Compatri, hasReligiousBuilding, Sanctuary of San Silvestro]
Generated description
The Sanctuary of San Silvestro is a historic Catholic shrine and pilgrimage church located in the hill town of Monte Compatri in the Lazio region of 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_69e2c4c725148190a4e41577c5cb409c completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a850d1d88190a728d55d8332ea85 completed April 30, 2026, 12:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a10046b2b4c81909a9b23cb21210888 completed May 22, 2026, 7:23 a.m.
NEDg Description generation batch_6a10058109548190be272b118a847fb8 completed May 22, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_6a1006162a308190a1c1ed715d0a6691 completed May 22, 2026, 7:30 a.m.
Created at: April 18, 2026, 2:24 a.m.