Triple

T23441892
Position Surface form Disambiguated ID Type / Status
Subject Imperia railway station E565424 entity
Predicate serves P98 FINISHED
Object city of Imperia 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: city of Imperia | Statement: [Imperia railway station, serves, city of Imperia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Imperia
Context triple: [Imperia railway station, serves, city of Imperia]
  • A. Imperia chosen
    Imperia is a coastal city in northwestern Italy’s Liguria region, known for its olive oil production, historic port, and seaside tourism.
  • B. city of Lucca
    The city of Lucca is a historic Tuscan city in central Italy, renowned for its well-preserved Renaissance walls, medieval architecture, and rich cultural heritage.
  • C. Portomaggiore
    Portomaggiore is a municipality in Italy’s Emilia-Romagna region known for its agricultural landscape and proximity to the city of Ferrara.
  • D. San Savino
    San Savino is a small locality within the municipality of Predappio in the Emilia-Romagna region of northern Italy.
  • E. Cittaducale
    Cittaducale is a historic town and comune in the Lazio region of central Italy, known for its medieval architecture and scenic setting near the Apennine Mountains.
  • 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_69e24584f9488190bb32730bd2ce023e completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1a644f6948190af07b3c4c32fc7ae completed April 29, 2026, 6:33 a.m.
Created at: April 17, 2026, 5:51 p.m.