Triple

T15234824
Position Surface form Disambiguated ID Type / Status
Subject Yellow Line (Budapest Metro) E364096 entity
Predicate notableStation P3858 FINISHED
Object Oktogon E349639 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: Oktogon | Statement: [Yellow Line (Budapest Metro), notableStation, Oktogon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oktogon
Context triple: [Yellow Line (Budapest Metro), notableStation, Oktogon]
  • A. Oktogon chosen
    Oktogon is a major octagonal intersection and public square in central Budapest, Hungary, where Andrássy Avenue crosses the Grand Boulevard.
  • B. Livu Square
    Livu Square is a popular public square in Riga’s Old Town known for its lively atmosphere, historic surroundings, and numerous cafes and events.
  • C. Taumadhi Square
    Taumadhi Square is a prominent historic plaza in Bhaktapur, Nepal, renowned for its traditional Newar architecture and iconic multi-tiered temples.
  • D. Krasinski Square
    Krasinski Square is a historic public square in Warsaw, Poland, known for its prominent monuments and proximity to significant cultural and governmental buildings.
  • E. Szervita Square
    Szervita Square is a small historic square in central Budapest known for its Baroque church, surrounding Art Nouveau and modern buildings, and its role as a busy urban junction in the city’s downtown district.
  • 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_69d85a0ce24c81909c4d3b6475548c95 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007d91e4881908ea52d11a3d4480a completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fedd3dd5a081909a1a7fceda648c29 completed May 9, 2026, 7:07 a.m.
Created at: April 10, 2026, 3:12 a.m.