Triple
T10939374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sanok |
E258423
|
entity |
| Predicate | hasEthnicHeritage |
P1494
|
FINISHED |
| Object | Boyko |
E193150
|
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: Boyko | Statement: [Sanok, hasEthnicHeritage, Boyko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boyko Context triple: [Sanok, hasEthnicHeritage, Boyko]
-
A.
Boykos
chosen
Boykos are a distinct East Slavic highlander ethnic group traditionally inhabiting the Carpathian Mountains region of western Ukraine and neighboring areas.
-
B.
Borisov
Borisov is a city in Belarus known for its location along the Berezina River and its historical significance, including the nearby site of the 1812 Battle of Berezina.
-
C.
Borislav
Borislav is a masculine given name of Slavic origin, commonly used in Eastern European countries.
-
D.
Vangel Božinovski
Vangel Božinovski is a Macedonian architect best known for designing the distinctive Mother Teresa Memorial House in Skopje.
-
E.
Vladimir Tenev
Vladimir Tenev is a Bulgarian-American entrepreneur best known as the co-founder and CEO of the commission-free trading platform Robinhood Markets.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c1389881909341170984211810 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c0e940081908c84ea4cf3b877fc |
completed | April 17, 2026, 1:56 p.m. |
Created at: April 8, 2026, 9:23 p.m.