Triple

T11703524
Position Surface form Disambiguated ID Type / Status
Subject Galanta E278181 entity
Predicate hasHungarianName P27628 FINISHED
Object Galánta E278181 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: Galánta | Statement: [Galanta, hasHungarianName, Galánta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galánta
Context triple: [Galanta, hasHungarianName, Galánta]
  • A. Galanta chosen
    Galanta is a town in southern Slovakia known as a regional center with historical ties to the Esterházy noble family.
  • B. Lizarra
    Lizarra is the Basque name for the historic town of Estella in the Navarre region of northern Spain.
  • C. Yarrowitch
    Yarrowitch is a small rural locality in New South Wales, Australia, known for its agricultural landscape and proximity to national parks and natural attractions.
  • D. Cantalice
    Cantalice is a small historic hill town in central Italy’s Lazio region, known for its medieval architecture and scenic position overlooking the surrounding countryside.
  • E. Vindelicia
    Vindelicia was an ancient region in Central Europe inhabited by the Vindelici, roughly corresponding to parts of modern southern Germany and Austria.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49b1080819096593733ee48a187 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef83525ae081909ee6f3fbb5d37dd7 completed April 27, 2026, 3:40 p.m.
Created at: April 8, 2026, 9:40 p.m.