Triple

T14347124
Position Surface form Disambiguated ID Type / Status
Subject Montefiascone E355753 entity
Predicate locatedNear P294 FINISHED
Object Bolsena E1086009 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: Bolsena | Statement: [Montefiascone, locatedNear, Bolsena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bolsena
Context triple: [Montefiascone, locatedNear, Bolsena]
  • A. Gargnano
    Gargnano is a small town on the western shore of Lake Garda in northern Italy, known for its scenic lakeside setting and historic villas.
  • B. Casentino
    Casentino is a scenic valley in eastern Tuscany, Italy, known for its medieval towns, forests, and the upper course of the Arno River.
  • C. Pescorocchiano
    Pescorocchiano is a small Italian municipality in the Lazio region, known for its rural landscape and historic hilltop setting within the Province of Rieti.
  • D. Bolsena Lake district chosen
    The Bolsena Lake district is a scenic area in central Italy centered around Lake Bolsena, known for its volcanic origins, rolling hills, and historic lakeside towns.
  • E. Dolceacqua
    Dolceacqua is a picturesque medieval village in Italy’s Liguria region, renowned for its stone bridge, historic castle, and scenic setting along the Nervia River.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8b81bc8190ace2a575faf55cc0 completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c4145c081909832e2334a064fb0 completed May 8, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:14 a.m.