Triple

T21660991
Position Surface form Disambiguated ID Type / Status
Subject Casentino E534593 entity
Predicate containsTown P847 FINISHED
Object Bibbiena 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: Bibbiena | Statement: [Casentino, containsTown, Bibbiena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bibbiena
Context triple: [Casentino, containsTown, Bibbiena]
  • A. Bibbiena chosen
    Bibbiena is a historic town and municipality in Tuscany, central Italy, known for its medieval architecture and scenic setting in the Casentino valley.
  • B. Barberino Val d’Elsa
    Barberino Val d’Elsa is a historic Tuscan village in central Italy, known for its medieval architecture and scenic position overlooking the Val d’Elsa countryside.
  • C. Poggibonsi
    Poggibonsi is a Tuscan town in central Italy known for its medieval history, archaeological sites, and position along historic pilgrimage and trade routes between Florence and Siena.
  • D. Rosciano
    Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
  • E. Montasola
    Montasola is a small Italian municipality in the Lazio region, known for its historic hilltop setting and scenic views within the Province of Rieti.
  • 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c07bcb88190a9864672c20325ff completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.