Triple

T14296604
Position Surface form Disambiguated ID Type / Status
Subject Aquincum E354455 entity
Predicate locatedIn 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: [Aquincum, locatedIn, Óbuda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Óbuda
Context triple: [Aquincum, locatedIn, 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. Ubakala
    Ubakala is a town in Abia State, southeastern Nigeria, serving as the administrative center of the Umuahia South Local Government Area.
  • D. Goba
    Goba is a small Ethiopian town in the Oromia Region that serves as a primary gateway and service center for visitors to Bale Mountains National Park.
  • E. Binya
    Binya is a small rural locality in New South Wales, Australia, situated in an agricultural region of the Riverina.
  • 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_69d8278e17088190b328c5a9d4be74ff completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de717cfc948190ace5f1c91283b1c3 completed April 14, 2026, 4:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d246ccc81909e9fe8b4487dcc88 completed May 8, 2026, 1:32 a.m.
Created at: April 10, 2026, 1:11 a.m.