Triple

T17376061
Position Surface form Disambiguated ID Type / Status
Subject Baia E422440 entity
Predicate municipality P852 FINISHED
Object Bacoli 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: Bacoli | Statement: [Baia, municipality, Bacoli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bacoli
Context triple: [Baia, municipality, Bacoli]
  • A. Bacoli chosen
    Bacoli is a coastal town in southern Italy’s Campania region, known for its archaeological sites, thermal springs, and scenic position in the Phlegraean Fields near Naples.
  • B. Genzano di Roma
    Genzano di Roma is a town in the Lazio region of central Italy, known for its historic center and traditional Infiorata flower festival.
  • C. Mercogliano
    Mercogliano is a town and comune in southern Italy’s Campania region, known for its proximity to Avellino and the Montevergine Sanctuary.
  • D. Melfi
    Melfi is a historic town in southern Italy known as an important medieval center of Norman rule and site of several papal councils.
  • E. Torre del Greco
    Torre del Greco is a coastal city in southern Italy, located near Naples on the slopes of Mount Vesuvius and known historically for its coral fishing and craftsmanship.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6ddbd081908908b953597977d2 completed April 19, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:45 a.m.