Triple

T14247429
Position Surface form Disambiguated ID Type / Status
Subject Oktogon station E353171 entity
Predicate locatedOn P40 FINISHED
Object Andrássy Avenue E70150 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: Andrássy Avenue | Statement: [Oktogon station, locatedOn, Andrássy Avenue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrássy Avenue
Context triple: [Oktogon station, locatedOn, Andrássy Avenue]
  • A. Andrássy Avenue chosen
    Andrássy Avenue is a grand, historic boulevard in Budapest renowned for its elegant architecture, cultural institutions, and status as a UNESCO World Heritage Site.
  • B. Kossuth Lajos Street
    Kossuth Lajos Street is a central thoroughfare in Budapest’s historic Pest side, known for its heavy traffic, shops, and proximity to major downtown landmarks.
  • C. Váci Street
    Váci Street is one of Budapest’s main pedestrian shopping streets, known for its historic architecture, boutiques, cafés, and tourist-oriented atmosphere in the city center.
  • D. Balassi Bálint Street
    Balassi Bálint Street is a central street in Budapest, Hungary, located near the Parliament and the Danube in the city’s government district.
  • E. Kazinczy Street
    Kazinczy Street is a popular street in Budapest known for its vibrant nightlife, ruin pubs, and cultural venues.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de629464f88190817b190731bab156 completed April 14, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf06cddcc81909a1ba268f667dc1d completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:08 a.m.