Triple

T16888306
Position Surface form Disambiguated ID Type / Status
Subject Monte Argentario E421595 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: [Monte Argentario, partOf, Maremma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maremma
Context triple: [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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbc2f6d081909c76fa2a6b87e083 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2befaa88190ba83dc17aa66b541 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.