Triple

T16617707
Position Surface form Disambiguated ID Type / Status
Subject Alpe di Catenaia E403736 entity
Predicate separates P1175 FINISHED
Object Casentino E534593 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: Casentino | Statement: [Alpe di Catenaia, separates, Casentino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Casentino
Context triple: [Alpe di Catenaia, separates, Casentino]
  • A. Casentino chosen
    Casentino is a scenic valley in eastern Tuscany, Italy, known for its medieval towns, forests, and the upper course of the Arno River.
  • B. Montegranaro
    Montegranaro is an Italian town in the Marche region, known for its historic center and strong tradition in shoemaking and leather craftsmanship.
  • C. Ostiglia
    Ostiglia is a small Italian town in Lombardy known for its strategic location along the Po River and its historical role as a river port and trading center.
  • D. Vinchio
    Vinchio is a small village in Italy’s Piedmont region, known for its vineyards and location within the historic Monferrato wine-producing area.
  • E. Valle Stura di Demonte
    Valle Stura di Demonte is an alpine valley in the Piedmont region of northwestern Italy, known for its Occitan cultural heritage and scenic mountain landscapes.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d883897eb481909eaaa088ba9918d9 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3754ac9dc8190965197024594742b completed April 18, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a011b33bc7081908170fbcde9a65fd6 completed May 10, 2026, 11:56 p.m.
Created at: April 10, 2026, 5:17 a.m.