Triple

T4986716
Position Surface form Disambiguated ID Type / Status
Subject ÖBB E112020 entity
Predicate secondaryHub P8522 FINISHED
Object Linz Hauptbahnhof E368694 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: Linz Hauptbahnhof | Statement: [ÖBB, secondaryHub, Linz Hauptbahnhof]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linz Hauptbahnhof
Context triple: [ÖBB, secondaryHub, Linz Hauptbahnhof]
  • A. Linz Central Station chosen
    Linz Central Station is the main railway hub of Linz, Austria, serving as a key regional and long-distance transport interchange.
  • B. Graz Hauptbahnhof
    Graz Hauptbahnhof is the main railway station and central transport hub of the city of Graz in Austria.
  • C. Salzburg Hauptbahnhof
    Salzburg Hauptbahnhof is the main railway station in Salzburg, Austria, serving as a major national and international transport hub.
  • D. Wien Hauptbahnhof
    Wien Hauptbahnhof is Vienna’s main railway station and a central national and international transport hub in Austria.
  • E. 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.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd727c25bc8190b72f6ddd3772c80a completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb0e1132881908fd6a540551e6318 completed March 21, 2026, 2:53 p.m.
Created at: March 20, 2026, 1:34 p.m.