Triple

T20376027
Position Surface form Disambiguated ID Type / Status
Subject Bevagna E497693 entity
Predicate hasNearbyCity P350 FINISHED
Object Montefalco NE NERFINISHED

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: [Bevagna, hasNearbyCity, Montefalco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montefalco
Context triple: [Bevagna, hasNearbyCity, Montefalco]
  • A. Montefalco chosen
    Montefalco is a historic hilltop town in central Italy renowned for its panoramic views and production of Sagrantino wine.
  • B. Montevarchi
    Montevarchi is a Tuscan town in central Italy known for its historic center, proximity to the Arno River, and role as a commercial and cultural hub in the Valdarno area.
  • C. 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.
  • D. Montecastrilli
    Montecastrilli is a small Italian municipality in the Umbria region, known for its rural landscapes and historic hilltop setting.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678acae3c8190ae04323760bf5597 completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.