Triple

T18102000
Position Surface form Disambiguated ID Type / Status
Subject Santorre di Santarosa E433243 entity
Predicate name P16 FINISHED
Object Santorre di Santarosa NE NERFINISHED

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: Santorre di Santarosa | Statement: [Santorre di Santarosa, name, Santorre di Santarosa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Santorre di Santarosa
Context triple: [Santorre di Santarosa, name, Santorre di Santarosa]
  • A. Santorre di Santarosa chosen
    Santorre di Santarosa was an Italian nobleman, soldier, and patriot who became a notable supporter of the Greek War of Independence and is remembered as a prominent Philhellene.
  • B. San Sosti
    San Sosti is a small town and comune in the Calabria region of southern Italy, known for its mountainous surroundings and traditional rural character.
  • C. Casarosa
    Casarosa is an Italian surname most notably associated with Enrico Casarosa, the animator and director known for his work at Pixar.
  • D. Montescaglioso
    Montescaglioso is a historic hill town in the Basilicata region of southern Italy, known for its medieval architecture and ancient monastic complexes.
  • E. Ramponio Verna
    Ramponio Verna is a small Italian municipality in the Lombardy region, situated in the mountainous area near Lake Como and the Swiss border.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb6fed8819090798683353a5c08 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:28 a.m.