Triple

T14835559
Position Surface form Disambiguated ID Type / Status
Subject Stadtpark E348819 entity
Predicate near P350 FINISHED
Object Wien Mitte railway station E548227 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: Wien Mitte railway station | Statement: [Stadtpark, near, Wien Mitte railway station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wien Mitte railway station
Context triple: [Stadtpark, near, Wien Mitte railway station]
  • A. Wien Mitte railway station chosen
    Wien Mitte railway station is a major central transport hub in Vienna, Austria, serving regional and suburban trains as well as key urban transit lines.
  • B. Wien Hauptbahnhof
    Wien Hauptbahnhof is Vienna’s main railway station and a central national and international transport hub in Austria.
  • C. Vienna station
    Vienna station is a Washington Metro rapid transit station in Fairfax County, Virginia, serving as the western endpoint of the system’s Orange Line.
  • D. Franz-Josefs-Bahnhof
    Franz-Josefs-Bahnhof is a major railway station in Vienna, Austria, serving regional and international train connections, particularly toward the northwest.
  • E. Graz Hauptbahnhof
    Graz Hauptbahnhof is the main railway station and central transport hub of the city of Graz in Austria.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded076ac9c8190a05cabec5e87d207 completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fc8cdc8190a142a2a3ef889e72 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:52 a.m.