Triple

T14210185
Position Surface form Disambiguated ID Type / Status
Subject Budavár E352207 entity
Predicate hasPart P35 FINISHED
Object Dísz Square E352206 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: Dísz Square | Statement: [Budavár, hasPart, Dísz Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dísz Square
Context triple: [Budavár, hasPart, Dísz Square]
  • A. Dísz Square chosen
    Dísz Square is a historic public square in Budapest’s Castle District, known for its proximity to Buda Castle and its role as a central gathering and ceremonial space.
  • B. 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.
  • C. Luza Square
    Luza Square is a historic central plaza in Dubrovnik’s Old City, known as a focal point for public life, ceremonies, and surrounding landmark buildings.
  • D. Fővám Square
    Fővám Square is a prominent public square in central Budapest, Hungary, known as a key transport hub and gateway to the historic Central Market Hall and the Liberty Bridge.
  • E. Varnava Square
    Varnava Square is a popular neighborhood square in the Pangrati district of Athens, known for its cafes, restaurants, and local social life.
  • 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_69fd280e56e0819097e2aa2b28f19257 completed May 8, 2026, 12:02 a.m.
Created at: April 10, 2026, 1:05 a.m.