Triple

T17236480
Position Surface form Disambiguated ID Type / Status
Subject Comune di Monte Argentario E418372 entity
Predicate partOf P40 FINISHED
Object Maremma E294040 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: Maremma | Statement: [Comune di Monte Argentario, partOf, Maremma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maremma
Context triple: [Comune di Monte Argentario, partOf, Maremma]
  • A. Maremma region chosen
    The Maremma region is a coastal area of southwestern Tuscany and northern Lazio in Italy, known for its wild landscapes, medieval hill towns, and traditional agriculture.
  • B. Senigallia
    Senigallia is a historic coastal town in Italy’s Marche region, known for its Adriatic seaside resort, Renaissance heritage, and well-preserved old town.
  • C. Ala Littoria
    Ala Littoria was the Italian national airline of the Fascist era, operating both domestic and international routes in the 1930s and early 1940s.
  • D. Campidanesu
    Campidanesu is the native name for Campidanese Sardinian, a major dialect of the Sardinian language spoken in southern Sardinia.
  • E. Valsesia
    Valsesia is a scenic alpine valley in Italy’s Piedmont region, known for its mountain landscapes, outdoor sports, and traditional villages.
  • 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dfbc6e88190a3dd7930fd1681ac completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01676596a48190ae17a411b86e613e completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:39 a.m.