Triple

T20277240
Position Surface form Disambiguated ID Type / Status
Subject Siege of Mantua (1796–1797) E503047 entity
Predicate location P40 FINISHED
Object Mantua 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: Mantua | Statement: [Siege of Mantua (1796–1797), location, Mantua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mantua
Context triple: [Siege of Mantua (1796–1797), location, Mantua]
  • A. Mantua chosen
    Mantua is a historic city in northern Italy’s Lombardy region, renowned for its Renaissance architecture, artistic heritage, and former status as the seat of the Gonzaga dynasty.
  • B. Mantua
    Mantua is a residential neighborhood in West Philadelphia known for its historic rowhouses and proximity to major universities and cultural institutions.
  • C. Mantua
    Mantua is a small Cuban town and municipality located in the western part of Pinar del Río Province.
  • D. Verona
    Verona is a historic city in northern Italy renowned for its well-preserved Roman architecture and its association with Shakespeare’s "Romeo and Juliet."
  • E. Verona
    Verona is a small borough in Allegheny County, Pennsylvania, situated along the Allegheny River just northeast of Pittsburgh.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e4cdfc81908c7cb4519a7d744b completed April 20, 2026, 6:52 p.m.
Created at: April 16, 2026, 10:35 a.m.