Triple

T20204675
Position Surface form Disambiguated ID Type / Status
Subject historical Georgian highlands E493317 entity
Predicate includesRegion P285 FINISHED
Object Racha NE NERFINISHED

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: [historical Georgian highlands, includesRegion, Racha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Racha
Context triple: [historical Georgian highlands, includesRegion, Racha]
  • A. Racha chosen
    Racha is a mountainous historical region in northwestern Georgia known for its scenic landscapes, traditional villages, and distinctive wines.
  • B. Si Racha
    Si Racha is a coastal city in eastern Thailand known for its industrial port, proximity to major tourist destinations, and as the namesake of the popular Sriracha chili sauce.
  • C. Raka
    Raka is an individual known primarily through their personal relationship with Koki.
  • D. 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.
  • E. Ráquira
    Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant colonial architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d913c088190b80b251fba5c368f completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.