Triple

T4905099
Position Surface form Disambiguated ID Type / Status
Subject Viterbo Jesuit College E109894 entity
Predicate namedAfter P63 FINISHED
Object city of Viterbo E103483 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: city of Viterbo | Statement: [Viterbo Jesuit College, namedAfter, city of Viterbo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Viterbo
Context triple: [Viterbo Jesuit College, namedAfter, city of Viterbo]
  • A. Viterbo chosen
    Viterbo is a historic city in central Italy known for its well-preserved medieval center, ancient thermal baths, and role as a papal residence in the 13th century.
  • B. Viterbo
    Viterbo is a municipality in the Caldas Department of Colombia, known for its coffee production and scenic Andean landscapes.
  • C. city of Rieti
    The city of Rieti is a historic town in the Lazio region of central Italy, often considered the geographical center of the Italian peninsula.
  • D. Orvieto
    Orvieto is a historic hilltop city in Umbria, Italy, renowned for its dramatic cliffside setting and magnificent Gothic cathedral.
  • E. Civita Castellana
    Civita Castellana is a historic town in the Lazio region of central Italy, known for its medieval fortifications and strategic position north of Rome.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6e71a5c481909f5862bf497c3c9d completed March 20, 2026, 3:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81bc9fe08190a76265d453e98f49 completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:29 p.m.