Triple

T31699589
Position Surface form Disambiguated ID Type / Status
Subject Sant’Angelo dei Lombardi E809014 entity
Predicate locatedNear P294 FINISHED
Object Rocca San Felice
Rocca San Felice is a small historic hilltop town in Italy’s Campania region, known for its medieval architecture and proximity to the Mefite archaeological and geothermal site.
E1975855 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: Rocca San Felice | Statement: [Sant’Angelo dei Lombardi, locatedNear, Rocca San Felice]
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: Rocca San Felice
Triple: [Sant’Angelo dei Lombardi, locatedNear, Rocca San Felice]
Generated description
Rocca San Felice is a small historic hilltop town in Italy’s Campania region, known for its medieval architecture and proximity to the Mefite archaeological and geothermal site.

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_69f348de914081909fc8edff56f34dbe completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69f6aaa852dc8190ae68dc46f25fb23e completed May 3, 2026, 1:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b946b17248190aff12fa48606ec55 completed June 12, 2026, 5:08 a.m.
NEDg Description generation batch_6a2b955c66288190bdca1c3033f59c7c completed June 12, 2026, 5:13 a.m.
NED2 Entity disambiguation (via description) batch_6a2b967c9eb48190bb9b86d606233de2 completed June 12, 2026, 5:17 a.m.
Created at: April 30, 2026, 11:11 p.m.