Triple

T559008
Position Surface form Disambiguated ID Type / Status
Subject Budapest E13406 entity
Predicate foundedByUnionOf P402 FINISHED
Object Óbuda E70138 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: Óbuda | Statement: [Budapest, foundedByUnionOf, Óbuda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Óbuda
Context triple: [Budapest, foundedByUnionOf, Óbuda]
  • A. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • B. Gwarinpa
    Gwarinpa is a large, planned residential district in Abuja, Nigeria, known for its extensive housing estates and relatively well-organized urban layout.
  • C. Buda chosen
    Buda is the historic western part of modern-day Budapest, known for its hilly landscape, medieval castle district, and role as a former capital of the Kingdom of Hungary.
  • D. Ishbak
    Ishbak is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had later in life.
  • E. Bauta
    Bauta is a municipality in western Cuba known for its proximity to Havana and its mix of rural communities and small urban centers.
  • 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_69a4933edcf08190b35ecfd6014caee6 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d28af148190acad3cfb809ff2f2 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a58030d0e48190a6390478e62f8659 completed March 2, 2026, 12:18 p.m.
Created at: March 1, 2026, 7:32 p.m.