Triple

T22088180
Position Surface form Disambiguated ID Type / Status
Subject Ofanto River E545838 entity
Predicate crossesProvince P13729 FINISHED
Object Avellino 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: Avellino | Statement: [Ofanto River, crossesProvince, Avellino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avellino
Context triple: [Ofanto River, crossesProvince, Avellino]
  • A. Avellino chosen
    Avellino is a city in southern Italy that serves as the capital of the province of the same name in the Campania region.
  • B. Cicciano
    Cicciano is a small town and comune in the Metropolitan City of Naples in Italy’s Campania region.
  • C. Afragola
    Afragola is a large suburban city in the Naples metropolitan area of southern Italy, known for its dense population and modern high-speed railway station.
  • D. Casaccia
    Casaccia is a small Swiss village in the Bregaglia Valley of the canton of Graubünden, situated near the Maloja Pass in the southeastern Alps.
  • E. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • 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_69e11e36d03c8190a83a1ba802b7231b completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f128e3a98481908a7b3dc3f2a90276 completed April 28, 2026, 9:38 p.m.
Created at: April 16, 2026, 8:29 p.m.