Triple

T8045143
Position Surface form Disambiguated ID Type / Status
Subject Trevi E187528 entity
Predicate locatedNear P294 FINISHED
Object Montefalco E226324 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: Montefalco | Statement: [Trevi, locatedNear, Montefalco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montefalco
Context triple: [Trevi, locatedNear, Montefalco]
  • A. Montefalco chosen
    Montefalco is a historic hilltop town in central Italy renowned for its panoramic views and production of Sagrantino wine.
  • B. Montefiascone
    Montefiascone is a historic hilltop town in Italy’s Lazio region, known for its scenic views over Lake Bolsena and its production of the Est! Est!! Est!!! white wine.
  • C. Montecastrilli
    Montecastrilli is a small Italian municipality in the Umbria region, known for its rural landscapes and historic hilltop setting.
  • D. Vetralla
    Vetralla is a historic town and comune in the Lazio region of central Italy, known for its medieval architecture and location along the ancient Via Cassia.
  • E. Sansepolcro
    Sansepolcro is a historic Tuscan town in central Italy, renowned as the birthplace of Renaissance painter and mathematician Piero della Francesca.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f4c79388190aecee6e313071a17 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccecd365ac8190bcc156e3b7597d56 completed April 1, 2026, 10 a.m.
Created at: March 30, 2026, 5:24 p.m.