Triple

T14210186
Position Surface form Disambiguated ID Type / Status
Subject Budavár E352207 entity
Predicate hasPart P35 FINISHED
Object Szentháromság Square E634588 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: Szentháromság Square | Statement: [Budavár, hasPart, Szentháromság Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Szentháromság Square
Context triple: [Budavár, hasPart, Szentháromság Square]
  • A. Szent György Square chosen
    Szent György Square is a historic plaza within Buda Castle in Budapest, Hungary, surrounded by notable governmental and heritage buildings.
  • B. 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.
  • C. Dobó István Square
    Dobó István Square is the central historic plaza of Eger, Hungary, known for its statues, baroque architecture, and role as a focal point of the city's cultural and social life.
  • D. Deák Ferenc Square
    Deák Ferenc Square is a central transport and public space hub in downtown Budapest, known as a key meeting point and gateway to the city's main attractions.
  • E. Széchenyi Square
    Széchenyi Square is the historic main square of Győr, Hungary, known for its Baroque architecture, prominent churches, and role as a central gathering place in the city.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61fa8d24819092a8ec5d34c1c799 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324d66a48190b58f6ce3a7c7facc completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:05 a.m.