Triple

T14864226
Position Surface form Disambiguated ID Type / Status
Subject Tabán E349575 entity
Predicate transportJunctionFor P36754 FINISHED
Object Erzsébet Bridge E1089260 NE FINISHED

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: Erzsébet Bridge | Statement: [Tabán, transportJunctionFor, Erzsébet Bridge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erzsébet Bridge
Context triple: [Tabán, transportJunctionFor, Erzsébet Bridge]
  • A. Megyeri Bridge
    Megyeri Bridge is a modern cable-stayed bridge over the Danube River in Budapest, Hungary, serving as a key northern bypass for the city’s ring road system.
  • B. Erzsébet híd chosen
    Erzsébet híd is a prominent suspension bridge in Budapest that spans the Danube River, connecting the city’s Buda and Pest sides.
  • C. Belvárosi Bridge
    Belvárosi Bridge is a prominent road and tram bridge over the Tisza River in Szeged, Hungary, serving as one of the city’s key architectural and transport landmarks.
  • D. Tiszavirág Bridge
    Tiszavirág Bridge is a distinctive pedestrian and cyclist bridge in Szolnok, Hungary, known for its elegant, dragonfly-inspired design spanning the Tisza River.
  • E. Margit Bridge
    Margit Bridge is a historic arch bridge in Budapest spanning the Danube River and linking the city’s Buda and Pest sides.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transportJunctionFor
Context triple: [Tabán, transportJunctionFor, Erzsébet Bridge]
  • A. transportationJunctionFor chosen
    Indicates a location that serves as a connecting point where multiple transportation routes or modes meet, intersect, or transfer.
  • B. transportationFacility
    Indicates that one entity is a facility or location used for the transportation or transit of people or goods in relation to another entity.
  • C. transportHubType
    Indicates the specific category or kind of transport hub associated with an entity (e.g., airport, train station, bus terminal).
  • D. railwayJunctionFor
    Indicates that a location serves as a junction point where multiple railway lines or routes connect or intersect for a given railway network or service.
  • E. publicTransportNode
    Indicates that a location functions as a node within a public transportation network, such as a stop, station, or interchange where services operate or connect.
  • F. None of above.

Provenance (4 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded574d0ec8190a6afed672ba6c2f9 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e7fc904819094269b7c785ead69 completed May 9, 2026, 12:23 a.m.
PD Predicate disambiguation batch_69de8c1798c08190b433e9ad21e41a42 completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:54 a.m.