Triple

T8262328
Position Surface form Disambiguated ID Type / Status
Subject La Mantovana E193222 entity
Predicate hasAlternativeName P39 FINISHED
Object Ballo di Mantova E193222 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: Ballo di Mantova | Statement: [La Mantovana, hasAlternativeName, Ballo di Mantova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ballo di Mantova
Context triple: [La Mantovana, hasAlternativeName, Ballo di Mantova]
  • A. La Mantovana chosen
    La Mantovana is a 16th-century Italian folk melody that became widely influential across Europe and later served as the musical basis for several national and folk anthems.
  • B. Milanollo
    Milanollo is a well-known British military march associated with the Coldstream Guards regiment.
  • C. Montenotte
    Montenotte is a residential suburb on the north side of Cork City, Ireland, known for its elevated position and views over the city and River Lee.
  • D. Granarolo dell’Emilia
    Granarolo dell’Emilia is a municipality in the Emilia-Romagna region of northern Italy, situated just outside the city of Bologna and known for its agricultural and food-industry activities.
  • E. Montescudaio
    Montescudaio is a small historic town in Tuscany, central Italy, known for its scenic hilltop setting and wine production.
  • 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_69ca82e081d48190986beaa51f498ab9 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7938723081909379cf78a4449b80 completed March 31, 2026, 7:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3573cee48190b72bdcdc433db93e completed April 1, 2026, 3:10 p.m.
Created at: March 30, 2026, 5:49 p.m.