Triple

T20368004
Position Surface form Disambiguated ID Type / Status
Subject Óbuda campus E496965 entity
Predicate locatedInNeighborhood P40 FINISHED
Object Óbuda E349572 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: [Óbuda campus, locatedInNeighborhood, Óbuda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Óbuda
Context triple: [Óbuda campus, locatedInNeighborhood, Óbuda]
  • A. Óbuda chosen
    Óbuda is a historic district in present-day Budapest, Hungary, known as one of the city’s oldest inhabited areas and a former independent town before its unification with Buda and Pest.
  • B. Okuku
    Okuku is a town in Osun State, southwestern Nigeria, situated near the city of Ikirun.
  • C. Udbina
    Udbina is a small town in the Lika region of Croatia, known for its historical significance and proximity to the Krbava field.
  • D. Nagoba
    Nagoba is a revered serpent deity worshipped by tribal communities in Telangana, India, particularly during the annual Keslapur Jathra festival.
  • E. Cibatu
    Cibatu is a town in West Java, Indonesia, known historically as a railway junction on the route between Bandung and Garut.
  • 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_69e0b4a4f9b081908a5a021919c21ccb completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678734b188190bb2c5863023f9f8c completed April 20, 2026, 7:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08708d48c08190ac0ccbc910d4af4b completed May 16, 2026, 1:26 p.m.
Created at: April 16, 2026, 11:26 a.m.