Triple

T9240798
Position Surface form Disambiguated ID Type / Status
Subject Circumvesuviana railway E222052 entity
Predicate connects P390 FINISHED
Object Sarno E790214 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: Sarno | Statement: [Circumvesuviana railway, connects, Sarno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sarno
Context triple: [Circumvesuviana railway, connects, Sarno]
  • A. Sarno chosen
    Sarno is a town in Italy’s Campania region, located near Mount Vesuvius and known as an endpoint of the Circumvesuviana railway network.
  • B. Pietraviva
    Pietraviva is a small village in Tuscany, central Italy, that forms a frazione (subdivision) of the municipality of Bucine in the province of Arezzo.
  • C. Marzano di Nola
    Marzano di Nola is a small municipality in the province of Avellino in Italy’s Campania region, known for its rural character and proximity to other Irpinian hill towns.
  • D. Scanno
    Scanno is a picturesque medieval village in Italy’s Abruzzo region, renowned for its mountain lake, traditional architecture, and historic goldsmithing and lace-making crafts.
  • E. Casertano
    Casertano is the Italian term for a person or thing originating from the city of Caserta in southern Italy.
  • 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_69ca83ee26cc81909ac624e190597d6d completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccf0a3888c8190b72d8d0b850bdfbc completed April 1, 2026, 10:17 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0c72be25c8190931204b21966502e completed April 4, 2026, 8:09 a.m.
Created at: March 30, 2026, 7:30 p.m.