Triple

T21647475
Position Surface form Disambiguated ID Type / Status
Subject Ludovico Ariosto E534256 entity
Predicate workLocation P7 FINISHED
Object Garfagnana 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: Garfagnana | Statement: [Ludovico Ariosto, workLocation, Garfagnana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garfagnana
Context triple: [Ludovico Ariosto, workLocation, Garfagnana]
  • A. Garfagnana chosen
    Garfagnana is a mountainous, historically rural area in northern Tuscany, Italy, known for its chestnut forests, medieval villages, and scenic landscapes between the Apuan Alps and the Apennines.
  • B. Offanengo
    Offanengo is a small Italian municipality in the Lombardy region, known for its agricultural surroundings and proximity to the city of Cremona.
  • C. Fra li Monti
    Fra li Monti is an alternative name for the GR20, a famously challenging long-distance hiking trail that traverses the rugged mountains of Corsica, France.
  • D. Roccantica
    Roccantica is a small medieval hilltop village in the Lazio region of central Italy, known for its historic architecture and scenic surroundings.
  • E. Bussi sul Tirino
    Bussi sul Tirino is a small Italian town in the Abruzzo region, known for its historic center and location along the clear waters of the Tirino River.
  • 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_69e0c466aec88190ba39c7543dbc8ba2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef59124e1c81908d454894d66359e7 completed April 27, 2026, 12:39 p.m.
Created at: April 16, 2026, 6:35 p.m.