Triple
T21901794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lyubov |
E540826
|
entity |
| Predicate | hasDiminutiveForm |
P456
|
FINISHED |
| Object | Liuba |
—
|
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: Liuba | Statement: [Lyubov, hasDiminutiveForm, Liuba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liuba Context triple: [Lyubov, hasDiminutiveForm, Liuba]
-
A.
Liuboml
Liuboml is a small historic town in western Ukraine near the Polish border, known for its medieval roots and multicultural heritage.
-
B.
Lyuba
chosen
Lyuba is a common Slavic diminutive form of the female given name Lyubov, often used as an affectionate nickname.
-
C.
Lubja
Lubja is a small village located within Viimsi Parish in northern Estonia, near the capital city of Tallinn.
-
D.
Lyubimets
Lyubimets is a small town in southern Bulgaria known for its agricultural production and location near the Greek and Turkish borders.
-
E.
Lujza
Lujza is a given name, primarily used in Central and Eastern Europe, that corresponds to the name Luisa or Louise in other languages.
- 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_69e0c47b4e8c81908c8076eaa4c8e4f2 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f121d2d63c819090e115708aa4dbf8 |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 16, 2026, 7:21 p.m.