Triple

T8388473
Position Surface form Disambiguated ID Type / Status
Subject Cisalpine Gaul E197879 entity
Predicate capital P234 FINISHED
Object Mutina E212294 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: Mutina | Statement: [Cisalpine Gaul, capital, Mutina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mutina
Context triple: [Cisalpine Gaul, capital, Mutina]
  • A. Mutina chosen
    Mutina was an important ancient Roman city in northern Italy, known today as Modena.
  • B. Maiolus
    Maiolus was a 10th-century Benedictine monk and influential abbot of Cluny, known for his role in monastic reform across medieval Europe.
  • C. Sabinum
    Sabinum was the ancient central Italian region traditionally associated with the Sabine people, located in the Apennine area northeast of Rome.
  • D. Canova
    Canova was a renowned Italian Neoclassical sculptor celebrated for his marble masterpieces depicting mythological and historical subjects.
  • E. Maenza
    Maenza is a small historic town in the Lazio region of central Italy, known for its medieval architecture and hilltop setting.
  • 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_69ca82f749388190bffbea6dfb509016 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb81090f688190a3a8d1680383c361 completed March 31, 2026, 8:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69cde83aac448190b74f65507170a8f7 completed April 2, 2026, 3:53 a.m.
Created at: March 30, 2026, 6:03 p.m.