Triple

T16358705
Position Surface form Disambiguated ID Type / Status
Subject Merab Kostava E397252 entity
Predicate familyName P18 FINISHED
Object Kostava E397252 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: Kostava | Statement: [Merab Kostava, familyName, Kostava]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kostava
Context triple: [Merab Kostava, familyName, Kostava]
  • A. Kostava chosen
    Kostava is a Georgian surname most notably borne by Merab Kostava, a prominent Soviet-era Georgian dissident and national independence activist.
  • B. Kosere
    "Kosere" is a popular Nigerian song by singer CDQ, known for its energetic Afrobeat style and street-influenced lyrics.
  • C. Kosuta
    Košuta is a prominent mountain ridge in the Karawanks range on the border between Slovenia and Austria, known for its long, scenic crest and popular hiking routes.
  • D. Kopaska
    Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
  • E. Kostik
    Kostik is a common Russian diminutive form of the male given name Konstantin, typically used in informal or affectionate contexts.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad1859c819082b47bf9d7fabd9f completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbaacd88190b2c90c5be2832307 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.