Triple

T4856000
Position Surface form Disambiguated ID Type / Status
Subject Mario Botta E108537 entity
Predicate designed P184 FINISHED
Object Mart Rovereto E238447 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: Mart Rovereto | Statement: [Mario Botta, designed, Mart Rovereto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mart Rovereto
Context triple: [Mario Botta, designed, Mart Rovereto]
  • A. Rovereto chosen
    Rovereto is a historic town in northern Italy’s Trentino region, known for its cultural institutions, World War I heritage, and scenic Alpine surroundings.
  • B. Brescia
    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.
  • C. Foligno
    Foligno is a historic city in central Italy known for its medieval architecture, cultural festivals, and strategic location along the Via Flaminia.
  • D. 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.
  • E. Rovigo
    Rovigo is a small historic city in northeastern Italy known for its medieval architecture and location in the fertile Po River plain.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3df75c8190830e2c927cc5a4f8 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cec638481909a3345f348116bbc completed March 21, 2026, 8:55 a.m.
Created at: March 20, 2026, 1:26 p.m.