Triple

T2719800
Position Surface form Disambiguated ID Type / Status
Subject Oni E60054 entity
Predicate historicalRegion P915 FINISHED
Object Racha E69941 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: Racha | Statement: [Oni, historicalRegion, Racha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Racha
Context triple: [Oni, historicalRegion, Racha]
  • A. Racha chosen
    Racha is a mountainous historical region in northwestern Georgia known for its scenic landscapes, traditional villages, and distinctive wines.
  • B. Raka
    Raka is a renowned Afrikaans narrative poem by N. P. van Wyk Louw that explores themes of civilization, barbarism, and moral conflict through an allegorical tale.
  • C. Ráquira
    Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant colonial architecture.
  • D. Raasay
    Raasay is a small, sparsely populated Scottish island in the Inner Hebrides, known for its rugged landscapes, quiet villages, and views across to the Isle of Skye.
  • E. Crisa
    Crisa was an ancient Greek town near Delphi that played a central role in the First Sacred War over control of the sanctuary and its access routes.
  • 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_69ab4b746d248190958e052045c09255 completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdab06d388190acf690787fe58ab5 completed March 7, 2026, 7:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb68ebd0081908bb360872d559e1f completed March 10, 2026, 6:13 a.m.
Created at: March 6, 2026, 9:55 p.m.