Triple

T3345296
Position Surface form Disambiguated ID Type / Status
Subject United States Army Africa E70358 entity
Predicate headquartersLocation P62 FINISHED
Object Vicenza, Italy E63542 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: Vicenza, Italy | Statement: [United States Army Africa, headquartersLocation, Vicenza, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vicenza, Italy
Context triple: [United States Army Africa, headquartersLocation, Vicenza, Italy]
  • A. Vicenza chosen
    Vicenza is a historic city in northeastern Italy renowned for its Palladian architecture and cultural heritage.
  • B. Treviso
    Treviso is a historic city in northeastern Italy’s Veneto region, known for its medieval walls, canals, and proximity to Venice.
  • C. Tivoli, Italy
    Tivoli, Italy is a historic town near Rome renowned for its ancient villas, spectacular gardens, and scenic waterfalls.
  • D. Padua
    Padua is a historic city in northern Italy renowned as a major cultural and academic center, home to one of Europe’s oldest universities.
  • E. Riva del Garda
    Riva del Garda is a picturesque resort town on the northern shore of Lake Garda in northern Italy, known for its historic center, lakeside promenades, and surrounding mountain scenery.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1f36c74819093ef2c74a46c2351 completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33426f73881908eb0759c47eb08d7 completed March 12, 2026, 9:46 p.m.
Created at: March 8, 2026, 3:12 p.m.