Triple

T22879284
Position Surface form Disambiguated ID Type / Status
Subject Tiber embankment E567414 entity
Predicate hasSectionNear P37078 FINISHED
Object Campo Marzio NE NERFINISHED

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: Campo Marzio | Statement: [Tiber embankment, hasSectionNear, Campo Marzio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campo Marzio
Context triple: [Tiber embankment, hasSectionNear, Campo Marzio]
  • A. Campo Marzio chosen
    Campo Marzio is a historic central district of Rome, Italy, known for its dense concentration of ancient monuments, Baroque churches, and important civic buildings.
  • B. Montemesola
    Montemesola is a small Italian town and comune in the Apulia region of southern Italy, situated within the Province of Taranto.
  • C. Campo San Luca
    Campo San Luca is a lively central square in Venice, Italy, known for its shops, cafés, and role as a popular meeting point between Rialto and St. Mark’s Square.
  • D. Parco di Veio
    Parco di Veio is a protected natural and archaeological park north of Rome, known for its rolling countryside, Etruscan ruins, and network of hiking trails.
  • E. Campofiorito
    Campofiorito is a small municipality in the Metropolitan City of Palermo in Sicily, Italy, known for its rural character and agricultural surroundings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24589d8348190b96422d13a678bc1 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17f5b1ea481909a31a8ed6792ad04 completed April 29, 2026, 3:47 a.m.
Created at: April 17, 2026, 3:39 p.m.