Triple

T14867017
Position Surface form Disambiguated ID Type / Status
Subject M1 Millennium Underground Railway E349641 entity
Predicate routeStart P389 FINISHED
Object Vörösmarty tér E354800 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: Vörösmarty tér | Statement: [M1 Millennium Underground Railway, routeStart, Vörösmarty tér]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vörösmarty tér
Context triple: [M1 Millennium Underground Railway, routeStart, Vörösmarty tér]
  • A. Rákóczi tér
    Rákóczi tér is a public square and transport hub in Budapest known for its central location and metro station in the Józsefváros district.
  • B. Nagyvárad tér
    Nagyvárad tér is a metro station in Budapest that serves the city’s public transportation network on one of its main lines.
  • C. Széchenyi István tér
    Széchenyi István tér is a prominent square in central Budapest, Hungary, known for its grand riverside location by the Danube and its surrounding historic and cultural landmarks.
  • D. Szabadság tér
    Szabadság tér is a prominent public square in central Budapest known for its grand architecture, historical monuments, and political symbolism.
  • E. Vörösmarty Square chosen
    Vörösmarty Square is a prominent central plaza in Budapest known for its historic architecture, bustling cafés, and role as a major cultural and commercial hub.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5761c688190b4477cb081554b51 completed April 15, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef885b07c8190af5e33303af9fbea completed May 9, 2026, 9:04 a.m.
Created at: April 10, 2026, 1:55 a.m.