Triple

T14964500
Position Surface form Disambiguated ID Type / Status
Subject VI District of Budapest E373153 entity
Predicate contains P35 FINISHED
Object Nyugati Railway Station E1123538 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: Nyugati Railway Station | Statement: [VI District of Budapest, contains, Nyugati Railway Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nyugati Railway Station
Context triple: [VI District of Budapest, contains, Nyugati Railway Station]
  • A. Nyugati Railway Station chosen
    Nyugati Railway Station is one of Budapest’s main historic railway terminals, known for its grand 19th-century iron-and-glass architecture and central location.
  • B. Hauptbahnhof station
    Hauptbahnhof station is Berlin’s central railway hub, serving as the city’s main long-distance, regional, and local train interchange.
  • C. Torre railway station
    Torre railway station is a suburban rail stop serving the Torre area of Torquay in Torbay, Devon, England, on the Riviera Line.
  • D. Můstek station
    Můstek station is a major Prague Metro interchange located at the lower end of Wenceslas Square, connecting lines A and B in the city center.
  • E. Universitat station
    Universitat station is a central Barcelona Metro stop located near the University of Barcelona, serving as a key transit point in the city's downtown area.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6d0487c8190b7754af8c5014b37 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe8bdeec408190893d1db9254da24e completed May 9, 2026, 1:20 a.m.
Created at: April 10, 2026, 2:45 a.m.