Triple

T22474760
Position Surface form Disambiguated ID Type / Status
Subject University of Campania Luigi Vanvitelli E555599 entity
Predicate hasCampus P116 FINISHED
Object Marcianise 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: Marcianise | Statement: [University of Campania Luigi Vanvitelli, hasCampus, Marcianise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marcianise
Context triple: [University of Campania Luigi Vanvitelli, hasCampus, Marcianise]
  • A. Marcianise chosen
    Marcianise is a town and municipality in the Campania region of southern Italy, known for its commercial and industrial activities.
  • B. Qualiano
    Qualiano is a town in the Metropolitan City of Naples in Italy’s Campania region, forming part of the urban area north of Naples.
  • C. Minturno
    Minturno is a historic town in the Lazio region of central Italy, known for its ancient Roman ruins and scenic position near the Tyrrhenian coast.
  • D. Velletri
    Velletri is a historic town in the Lazio region of central Italy, known for its ancient Roman roots, wine production, and location in the Alban Hills southeast of Rome.
  • E. Carpineto Romano
    Carpineto Romano is a historic hill town in the Lazio region of central Italy, best known as the birthplace of Pope Leo XIII.
  • 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_69e11e52c2048190952dc5df209b9bed completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15be2d5388190a59d11b3403d998b completed April 29, 2026, 1:16 a.m.
Created at: April 16, 2026, 8:49 p.m.