Triple

T22693684
Position Surface form Disambiguated ID Type / Status
Subject Radicava E561112 entity
Predicate hasBrandName P40804 FINISHED
Object Radicava 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: Radicava | Statement: [Radicava, hasBrandName, Radicava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Radicava
Context triple: [Radicava, hasBrandName, Radicava]
  • A. Radicava chosen
    Radicava is a prescription medication containing edaravone, used to slow the progression of amyotrophic lateral sclerosis (ALS) in adults.
  • B. Radenín
    Radenín is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and historic local architecture.
  • C. Kudirka
    Kudirka is a Lithuanian surname most notably borne by Vincas Kudirka, the author of Lithuania’s national anthem and a key figure in the Lithuanian national revival.
  • D. Rakytov
    Rakytov is a prominent mountain peak in Slovakia’s Veľká Fatra range, known for its panoramic views and popular hiking trails.
  • E. Zavalita
    Zavalita is the disillusioned journalist and central protagonist of Mario Vargas Llosa’s novel "Conversation in the Cathedral," whose reflections expose the moral and political decay of mid-20th-century Peru.
  • 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_69e2454d71b48190a1f80af9f82b6fcf completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1789c6ae481908975b7d27e7624ac completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:13 p.m.