Triple

T14835577
Position Surface form Disambiguated ID Type / Status
Subject Stephansplatz transport hub E348820 entity
Predicate operatedBy P86 FINISHED
Object Wiener Linien E938850 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: Wiener Linien | Statement: [Stephansplatz transport hub, operatedBy, Wiener Linien]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wiener Linien
Context triple: [Stephansplatz transport hub, operatedBy, Wiener Linien]
  • A. Wiener Linien chosen
    Wiener Linien is the main public transport operator in Vienna, Austria, running the city’s metro, tram, and bus networks.
  • B. Hamburger Hochbahn
    Hamburger Hochbahn is a major public transport company in Hamburg, Germany, responsible for operating much of the city's U-Bahn (subway) and bus network.
  • C. Metra
    Metra is the commuter rail system serving the Chicago metropolitan area, operating extensive routes that connect the city with its surrounding suburbs.
  • D. Munich S-Bahn
    The Munich S-Bahn is a rapid transit and commuter rail network serving Munich and its surrounding metropolitan region in Bavaria, Germany.
  • E. Bee-Line Bus System
    The Bee-Line Bus System is a public transit network operating local and express bus routes throughout Westchester County, New York, and into parts of New York City.
  • 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_69fe38a5d8888190821988ad00351d05 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:52 a.m.