Triple
T13716592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vera |
E328915
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Vjera |
E797421
|
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: Vjera | Statement: [Vera, hasVariant, Vjera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vjera Context triple: [Vera, hasVariant, Vjera]
-
A.
Johannitsa
Johannitsa was a medieval Bulgarian ruler better known as Kaloyan, the tsar who significantly expanded the Second Bulgarian Empire in the early 13th century.
-
B.
Valka
Valka is a compassionate and fiercely independent dragon rider who serves as Hiccup’s long-lost mother and a key protector of dragons in the How to Train Your Dragon film series.
-
C.
Nadežda
chosen
Nadežda is a South Slavic female given name, particularly common in Serbian and other Slavic cultures, derived from the word for "hope."
-
D.
Svaha
Svaha is a goddess in Hindu mythology revered as the personification of the sacrificial offering and the divine wife of the fire god Agni.
-
E.
Kvirila
Kvirila is a river in western Georgia that flows through the Imereti region before joining the Rioni River.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd4398f0448190810c840a82228706 |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d5878948190a2aaab2ba31bd1ed |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.