Triple

T3694428
Position Surface form Disambiguated ID Type / Status
Subject Charlottesville, Virginia E78420 entity
Predicate hasSisterCity P919 FINISHED
Object Brescia, Italy E208736 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: Brescia, Italy | Statement: [Charlottesville, Virginia, hasSisterCity, Brescia, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brescia, Italy
Context triple: [Charlottesville, Virginia, hasSisterCity, Brescia, Italy]
  • A. Brescia chosen
    Brescia is a historic industrial and cultural city in northern Italy, known for its Roman and medieval architecture and its role as an economic hub.
  • B. Bergamo
    Bergamo is a historic city in northern Italy known for its medieval walled upper town, rich artistic heritage, and strategic location at the foothills of the Alps.
  • C. Tivoli, Italy
    Tivoli, Italy is a historic town near Rome renowned for its ancient villas, spectacular gardens, and scenic waterfalls.
  • D. Montella, Italy
    Montella, Italy is a small town in the Campania region of southern Italy, known for its mountainous landscape and traditional chestnut production.
  • E. Alba, Italy
    Alba is a historic town in Italy’s Piedmont region, renowned for its white truffles, fine wines like Barolo and Barbaresco, and well-preserved medieval center.
  • 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_69ad85e3b1888190abc983e06968696d completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4e9e4748190aa178692ef27e3a6 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3d0f2d88190b31e8c336f1a1bf3 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.