Triple

T12334253
Position Surface form Disambiguated ID Type / Status
Subject Maremma region E294040 entity
Predicate contains P35 FINISHED
Object Magliano in Toscana E844354 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: Magliano in Toscana | Statement: [Maremma region, contains, Magliano in Toscana]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Magliano in Toscana
Context triple: [Maremma region, contains, Magliano in Toscana]
  • A. Magliano in Toscana chosen
    Magliano in Toscana is a historic hilltop village in southern Tuscany, Italy, known for its medieval walls, scenic countryside, and wine and olive oil production.
  • B. Musignano
    Musignano is an Italian locality historically linked to the Bonaparte family’s expanded heraldic and territorial holdings.
  • C. Calenzano
    Calenzano is a municipality in the Tuscany region of central Italy, situated near Florence and known for its mix of industrial areas and historic hilltop village.
  • D. Musignano, Lazio
    Musignano, Lazio is a locality in the Lazio region of central Italy historically linked to the noble title of Prince of Canino and Musignano.
  • E. Magliano Romano
    Magliano Romano is a small historic town in the Lazio region of central Italy, situated in the countryside north of Rome.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f64ad20819080d99e57833b4b51 completed April 10, 2026, 6:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62aa367348190b3991f256586a331 completed May 2, 2026, 4:47 p.m.
Created at: April 8, 2026, 9:53 p.m.