Triple

T21558721
Position Surface form Disambiguated ID Type / Status
Subject Porto d’Ascoli E531958 entity
Predicate hasRailwayStation P918 FINISHED
Object Porto d’Ascoli railway station NE NERFINISHED

How this triple was built (3 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: Porto d’Ascoli railway station | Statement: [Porto d’Ascoli, hasRailwayStation, Porto d’Ascoli railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Porto d’Ascoli railway station
Context triple: [Porto d’Ascoli, hasRailwayStation, Porto d’Ascoli railway station]
  • A. Ancona railway station
    Ancona railway station is the main rail hub of the city of Ancona in Italy, serving as a key junction on the Adriatic railway line with regional and long-distance connections.
  • B. Cesenatico railway station
    Cesenatico railway station is a local train station in the coastal town of Cesenatico in Emilia-Romagna, Italy, serving regional passenger traffic along the Adriatic line.
  • C. Pesaro railway station
    Pesaro railway station is the main train station serving the city of Pesaro in Italy, providing regional and long-distance rail connections.
  • D. Cesena railway station
    Cesena railway station is a regional and intercity train station in the city of Cesena, Italy, serving as a key stop on the Adriatic rail corridor.
  • E. Assisi railway station
    Assisi railway station is a regional train station in Assisi, Italy, serving as a key access point for visitors to the historic town and its religious sites.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Porto d’Ascoli railway station
Target entity description: Porto d’Ascoli railway station is a regional train station in the Porto d’Ascoli district of San Benedetto del Tronto, Italy, serving as a local hub on the Adriatic railway line.
  • A. Ancona railway station
    Ancona railway station is the main rail hub of the city of Ancona in Italy, serving as a key junction on the Adriatic railway line with regional and long-distance connections.
  • B. Cesenatico railway station
    Cesenatico railway station is a local train station in the coastal town of Cesenatico in Emilia-Romagna, Italy, serving regional passenger traffic along the Adriatic line.
  • C. Pesaro railway station
    Pesaro railway station is the main train station serving the city of Pesaro in Italy, providing regional and long-distance rail connections.
  • D. Cesena railway station
    Cesena railway station is a regional and intercity train station in the city of Cesena, Italy, serving as a key stop on the Adriatic rail corridor.
  • E. Assisi railway station
    Assisi railway station is a regional train station in Assisi, Italy, serving as a key access point for visitors to the historic town and its religious sites.
  • F. None of above. chosen

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_69e0c460232c81908de2c3819d17c00e completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e21c5c8190aa32795e41f1550e completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.