Triple

T15551454
Position Surface form Disambiguated ID Type / Status
Subject Budapest tram network E370752 entity
Predicate hasStop P17789 FINISHED
Object Széll Kálmán tér stop E370753 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: Széll Kálmán tér stop | Statement: [Budapest tram network, hasStop, Széll Kálmán tér stop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Széll Kálmán tér stop
Context triple: [Budapest tram network, hasStop, Széll Kálmán tér stop]
  • A. Széll Kálmán tér chosen
    Széll Kálmán tér is a major public square and key transport hub in Budapest, serving as an interchange for metro, tram, and bus lines on the Buda side of the city.
  • B. Vörösmarty tér station
    Vörösmarty tér station is the southern terminus and one of the central stops of Budapest’s historic M1 (Millennium Underground) metro line, located beneath Vörösmarty Square in the city center.
  • C. Kálvin tér
    Kálvin tér is a major transport hub and public square in central Budapest, served by multiple metro lines and tram routes.
  • D. Vörösmarty tér
    Vörösmarty tér is a prominent central square in Budapest, Hungary, known for its historic cafés, shopping streets, and seasonal markets.
  • E. Szent István tér
    Szent István tér is a central public square in Pécs, Hungary, known for its historic surroundings and cultural attractions.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04a9551288190a583e8291c35f521 completed April 16, 2026, 2:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4560008c81908ebd278c3dc45045 completed May 9, 2026, 2:32 p.m.
Created at: April 10, 2026, 4:08 a.m.