Triple

T18997889
Position Surface form Disambiguated ID Type / Status
Subject Oglio E464866 entity
Predicate crossesMunicipality P13729 FINISHED
Object Orzinuovi 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: Orzinuovi | Statement: [Oglio, crossesMunicipality, Orzinuovi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orzinuovi
Context triple: [Oglio, crossesMunicipality, Orzinuovi]
  • A. Orzinuovi chosen
    Orzinuovi is a town and comune in the province of Brescia in the Lombardy region of northern Italy.
  • B. San Savino
    San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • C. Mazara del Vallo
    Mazara del Vallo is a historic fishing port and multicultural town on Sicily’s southwestern coast, known for its Arab-influenced old center and large Tunisian community.
  • D. Cascia
    Cascia is a historic hill town and pilgrimage site in the Umbria region of central Italy, best known for its association with Saint Rita of Cascia.
  • E. Rosciano
    Rosciano is a small Italian municipality in the Abruzzo region, known for its rural landscape and traditional local agriculture.
  • 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_69d8dd01a56c81909694a128c66b21d7 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d6838f4481909b265e29964b0dca completed April 20, 2026, 7:32 a.m.
Created at: April 10, 2026, 12:01 p.m.