Triple

T11512155
Position Surface form Disambiguated ID Type / Status
Subject Province of Florence E272939 entity
Predicate contains P35 FINISHED
Object Fiesole E558373 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: Fiesole | Statement: [Province of Florence, contains, Fiesole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiesole
Context triple: [Province of Florence, contains, Fiesole]
  • A. Fiesole chosen
    Fiesole is a historic hilltop town overlooking Florence in Tuscany, Italy, known for its Etruscan and Roman remains and its role as a Renaissance artistic center.
  • B. Poggio San Lorenzo
    Poggio San Lorenzo is a small Italian municipality in the Lazio region, known for its rural setting and historical hilltop village character.
  • C. San Giovanni Valdarno
    San Giovanni Valdarno is a historic Tuscan town in central Italy, known as the birthplace of the Renaissance painter Masaccio and for its characteristic medieval urban layout.
  • D. Poggio Moiano
    Poggio Moiano is a small Italian hill town in the Lazio region known for its rural character and proximity to the Apennine mountains.
  • E. Cortona
    Cortona is an ancient hilltop town in Tuscany, Italy, historically significant as one of the principal cities of the Etruscan civilization.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d86db7af688190b68668eb39d382a8 completed April 10, 2026, 3:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6852a23688190a3fe8e5508435661 completed April 20, 2026, 7:57 p.m.
Created at: April 8, 2026, 9:36 p.m.