Triple

T10141466
Position Surface form Disambiguated ID Type / Status
Subject Province of Grosseto E231592 entity
Predicate contains P35 FINISHED
Object Scarlino E623398 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: Scarlino | Statement: [Province of Grosseto, contains, Scarlino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scarlino
Context triple: [Province of Grosseto, contains, Scarlino]
  • A. Scarlino chosen
    Scarlino is a historic Tuscan town in central Italy, known for its medieval hilltop setting overlooking the Tyrrhenian coast.
  • B. Reggiani
    Reggiani are the inhabitants or natives of the Italian city of Reggio Emilia, known for their rich culinary traditions and contributions to art and culture in the Emilia-Romagna region.
  • C. Mazzantini
    Mazzantini is an Italian surname most notably borne by the contemporary novelist and actress Margaret Mazzantini.
  • D. Mirandolesi
    Mirandolesi are the inhabitants or natives of Mirandola, a town in the Emilia-Romagna region of northern Italy.
  • E. Chiamparino
    Chiamparino is an Italian surname most notably associated with Sergio Chiamparino, a prominent center-left politician and former mayor of Turin.
  • 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_69ca848364f881908a24366a6feec1db completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdeb2599e0819090184631e481310c completed April 2, 2026, 4:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e603d4548190a561e735c603946f completed April 5, 2026, 10:45 p.m.
Created at: March 30, 2026, 9:07 p.m.