Triple

T12742704
Position Surface form Disambiguated ID Type / Status
Subject Gorals E304526 entity
Predicate traditionalRegion P1968 FINISHED
Object Orava E95035 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: Orava | Statement: [Gorals, traditionalRegion, Orava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orava
Context triple: [Gorals, traditionalRegion, Orava]
  • A. Orava chosen
    Orava is a historical region in northern Slovakia and southern Poland, known for its mountainous landscapes, traditional villages, and the prominent Orava Castle.
  • B. West Morava
    West Morava is a major river in central Serbia that serves as one of the two principal headwaters of the Velika Morava.
  • C. White Váh
    White Váh is one of the two main headwater streams that join to form the Váh River in northern Slovakia.
  • D. Poprad River
    The Poprad River is a mountain river in southern Poland and northeastern Slovakia, known for its scenic valley, spa towns, and role as part of the Polish-Slovak border.
  • E. Svitava River
    The Svitava River is a significant river in the eastern Czech Republic that flows through cities such as Brno before joining the Svratka River.
  • 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_69d7bdf1426c8190a4402e1c4cdec33a completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd321bc81908eb61cc05b550754 completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f70a18790c8190afea8f946712987c completed May 3, 2026, 8:40 a.m.
Created at: April 9, 2026, 5:26 p.m.