Triple

T1861607
Position Surface form Disambiguated ID Type / Status
Subject Tuscany E34826 entity
Predicate containsCity P294 FINISHED
Object Grosseto E178373 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: Grosseto | Statement: [Tuscany, containsCity, Grosseto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grosseto
Context triple: [Tuscany, containsCity, Grosseto]
  • A. Grosseto chosen
    Grosseto is a Tuscan city near Italy’s western coast, known for its well-preserved medieval walls and role as the capital of the Maremma region.
  • B. Arezzo
    Arezzo is an ancient Tuscan city in central Italy, historically significant as one of the principal centers of the Etruscan civilization and later a prominent medieval and Renaissance town.
  • C. Pesaro
    Pesaro is a coastal city on Italy’s Adriatic Sea, known for its Renaissance architecture, seaside resorts, and as the birthplace of composer Gioachino Rossini.
  • D. La Spezia
    La Spezia is a port city in northwestern Italy known as a major naval base and gateway to the Cinque Terre on the Ligurian coast.
  • E. Livorno
    Livorno is a port city on Italy’s western coast, historically notable for its diverse communities and significant Jewish population.
  • 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_69a88600b2f88190bc09303e68ab517e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abb09e714881909cef0f7e77b5b3b9 completed March 7, 2026, 4:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc189de08190b88849333d824c5b completed March 11, 2026, 5:22 a.m.
Created at: March 4, 2026, 7:34 p.m.