Triple

T23962573
Position Surface form Disambiguated ID Type / Status
Subject Sacra di San Michele E603969 entity
Predicate locatedOn P40 FINISHED
Object Mount Pirchiriano
Mount Pirchiriano is a prominent mountain in the Susa Valley of Piedmont, Italy, best known as the dramatic rocky spur crowned by the medieval abbey of the Sacra di San Michele.
E1622414 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: Mount Pirchiriano | Statement: [Sacra di San Michele, locatedOn, Mount Pirchiriano]
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: Mount Pirchiriano
Triple: [Sacra di San Michele, locatedOn, Mount Pirchiriano]
Generated description
Mount Pirchiriano is a prominent mountain in the Susa Valley of Piedmont, Italy, best known as the dramatic rocky spur crowned by the medieval abbey of the Sacra di San Michele.

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_69e2954222288190a7323554d0cca8d7 completed April 17, 2026, 8:17 p.m.
NER Named-entity recognition batch_69f1d0db90c88190adc18e9ee107281b completed April 29, 2026, 9:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0facf9f9848190850f18a60301e2b7 completed May 22, 2026, 1:10 a.m.
NEDg Description generation batch_6a0fae2d71448190b191a4877c698840 completed May 22, 2026, 1:15 a.m.
NED2 Entity disambiguation (via description) batch_6a0faefcb9048190abf1ccd608f1b607 completed May 22, 2026, 1:18 a.m.
Created at: April 17, 2026, 9:23 p.m.