Triple

T9361835
Position Surface form Disambiguated ID Type / Status
Subject Pest E225296 entity
Predicate contains P35 FINISHED
Object City Park (Városliget) E349580 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: City Park (Városliget) | Statement: [Pest, contains, City Park (Városliget)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City Park (Városliget)
Context triple: [Pest, contains, City Park (Városliget)]
  • A. City Park (Városliget) chosen
    City Park (Városliget) is a major historic public park in Budapest known for its cultural attractions, museums, thermal baths, and recreational spaces.
  • B. Széchenyi Hill
    Széchenyi Hill is a wooded elevation in Budapest’s Buda Hills, known for its scenic views, hiking trails, and the terminus of the city’s historic cogwheel railway.
  • C. Kossuth Square
    Kossuth Square is the central public square of Debrecen, Hungary, known for its historic architecture and role as a focal point of the city's civic and cultural life.
  • 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
    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_69ca842bdd648190904131d58620d448 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd503ca7308190818f27f1faf94a53 completed April 1, 2026, 5:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3eaf2208190967a3a8e82a4070b completed April 4, 2026, 11:20 a.m.
Created at: March 30, 2026, 7:42 p.m.