Triple

T18702793
Position Surface form Disambiguated ID Type / Status
Subject Roman, Romania E457292 entity
Predicate hasLandmark P105 FINISHED
Object Roman 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: Roman railway station | Statement: [Roman, Romania, hasLandmark, Roman railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Roman railway station
Context triple: [Roman, Romania, hasLandmark, Roman railway station]
  • A. Dom/Römer station
    Dom/Römer station is an underground rapid transit stop in central Frankfurt am Main, Germany, serving the historic old town area near landmarks such as the cathedral and Römer city hall.
  • B. Par railway station
    Par railway station is a key junction in Cornwall, England, where the Cornish Main Line connects with the Atlantic Coast Line to Newquay.
  • C. Rossio railway station
    Rossio railway station is a historic 19th-century train terminus in central Lisbon, Portugal, known for its Neo-Manueline façade and role as a key gateway to the Sintra line.
  • D. Roma Tuscolana railway station
    Roma Tuscolana railway station is a major suburban and regional rail hub in Rome, Italy, serving as an important stop on lines connecting the city center with outlying areas and the airport.
  • E. Roma Ostiense railway station
    Roma Ostiense railway station is a major rail hub in Rome that serves regional, national, and airport-bound trains, linking the city center with key destinations including Fiumicino Airport.
  • 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: Roman railway station
Target entity description: Roman railway station is a key rail transport hub in the city of Roman, Romania, connecting it to major regional and national routes.
  • A. Dom/Römer station
    Dom/Römer station is an underground rapid transit stop in central Frankfurt am Main, Germany, serving the historic old town area near landmarks such as the cathedral and Römer city hall.
  • B. Par railway station
    Par railway station is a key junction in Cornwall, England, where the Cornish Main Line connects with the Atlantic Coast Line to Newquay.
  • C. Rossio railway station
    Rossio railway station is a historic 19th-century train terminus in central Lisbon, Portugal, known for its Neo-Manueline façade and role as a key gateway to the Sintra line.
  • D. Roma Tuscolana railway station
    Roma Tuscolana railway station is a major suburban and regional rail hub in Rome, Italy, serving as an important stop on lines connecting the city center with outlying areas and the airport.
  • E. Roma Ostiense railway station
    Roma Ostiense railway station is a major rail hub in Rome that serves regional, national, and airport-bound trains, linking the city center with key destinations including Fiumicino Airport.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56714d0588190ac050356bc2784fd completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:49 a.m.