Triple

T20864332
Position Surface form Disambiguated ID Type / Status
Subject Pago del Vallo di Lauro E513711 entity
Predicate hasProvince P285 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: [Pago del Vallo di Lauro, hasProvince, Avellino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avellino
Context triple: [Pago del Vallo di Lauro, hasProvince, 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. 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.
  • C. Bisacquino
    Bisacquino is a small town in the Sicilian province of Palermo, Italy, known as the birthplace of film director Frank Capra.
  • D. Zuccoli
    Zuccoli is a residential suburb located within the greater Darwin metropolitan area in the Northern Territory of Australia.
  • E. Sarno
    Sarno is a town in Italy’s Campania region, located near Mount Vesuvius and known as an endpoint of the Circumvesuviana railway network.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c45e51f08190ac1ff59280ad741b completed April 21, 2026, 12:27 a.m.
Created at: April 16, 2026, 12:44 p.m.