Triple
T29824946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nav |
E757352
|
entity |
| Predicate | hasVariantInterpretations |
P113983
|
FINISHED |
| Object | varies among different Slavic regions |
—
|
LITERAL 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: varies among different Slavic regions | Statement: [Nav, hasVariantInterpretations, varies among different Slavic regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVariantInterpretations Context triple: [Nav, hasVariantInterpretations, varies among different Slavic regions]
-
A.
hasVariantIdentifications
Indicates that an entity is associated with one or more alternative identifications or versions that differ in some defined way from a primary identification.
-
B.
hasVariantsIn
chosen
Indicates that an entity exists in multiple alternative forms or versions within a specified context or set.
-
C.
hasVariant
Indicates that one entity exists as an alternative form, version, or variation of another entity.
-
D.
hasVariantReadingsWith
Indicates a relationship where two textual items are linked because they exhibit differing or alternative readings of (typically) the same underlying content.
-
E.
hasVariantSeries
Indicates a relationship where one entity is a variant or alternative series derived from or associated with another series.
- F. None of above.
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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f67597ec4081909c0b453a69f14c28 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
Created at: April 29, 2026, 5:31 p.m.