Triple
T20353158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vladyslav Kryklii |
E496068
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Kryklii |
—
|
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: Kryklii | Statement: [Vladyslav Kryklii, familyName, Kryklii]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kryklii Context triple: [Vladyslav Kryklii, familyName, Kryklii]
-
A.
Kryklii
chosen
Kryklii is a Ukrainian surname most notably borne by politician Vladyslav Kryklii.
-
B.
Krylia
Krylia is a Russian football club commonly known by this short nickname, representing PFC Krylia Sovetov Samara.
-
C.
Krorayina
Krorayina is an ancient oasis city in the Tarim Basin of present-day Xinjiang, China, known for its role as a Silk Road trading center and its well-preserved archaeological remains.
-
D.
Koryschades
Koryschades is a traditional mountain village in central Greece known for its stone-built houses and scenic setting in the region of Evrytania.
-
E.
Krukenychi
Krukenychi is a village in western Ukraine, historically part of the Lviv region and known as the birthplace of educator and university founder Vasiliy Karazin.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67851c7088190ba960a33c6dfa824 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.