Triple

T9223632
Position Surface form Disambiguated ID Type / Status
Subject Kost Levytsky E221624 entity
Predicate givenName P17 FINISHED
Object Kost E584283 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: Kost | Statement: [Kost Levytsky, givenName, Kost]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kost
Context triple: [Kost Levytsky, givenName, Kost]
  • A. Kostava
    Kostava is a Georgian surname most notably borne by Merab Kostava, a prominent Soviet-era Georgian dissident and national independence activist.
  • B. Kosta chosen
    Kosta is a diminutive form of the given name Konstantin, commonly used in various Slavic languages.
  • C. Kostik
    Kostik is a common Russian diminutive form of the male given name Konstantin, typically used in informal or affectionate contexts.
  • D. Diass
    Diass is a commune in western Senegal that hosts the country’s main international gateway, Blaise Diagne International Airport.
  • E. Kotlas
    Kotlas is a significant industrial and transport hub in northern Russia, located at the confluence of the Vychegda and Northern Dvina rivers.
  • 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_69ca83ec8db08190a9110df8232885d2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccda7903208190b4e29a1591aab78a completed April 1, 2026, 8:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0664565748190a45cf382fca72cbe completed April 4, 2026, 1:15 a.m.
Created at: March 30, 2026, 7:28 p.m.