Triple
T35764945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western South Slavic languages |
E1033988
|
entity |
| Predicate | shareIsoglossesWith |
P10344
|
FINISHED |
| Object | Central South Slavic dialects |
—
|
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: Central South Slavic dialects | Statement: [Western South Slavic languages, shareIsoglossesWith, Central South Slavic dialects]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareIsoglossesWith Context triple: [Western South Slavic languages, shareIsoglossesWith, Central South Slavic dialects]
-
A.
sharesIsoglossWith
chosen
Indicates that two linguistic varieties share a common isogloss, i.e., they exhibit the same geographically bounded linguistic feature or boundary.
-
B.
sharesLanguageWith
Indicates that two entities use at least one common language for communication.
-
C.
shareLanguageInfluence
Indicates that two entities affect or shape each other’s language use, development, or characteristics through mutual or shared influence.
-
D.
hasDialectalFeaturesSharedWith
Indicates that two language varieties share specific dialectal features or characteristics in common.
-
E.
hasDialectContinuumWith
Indicates that two languages or dialects are part of a continuous chain of mutually intelligible varieties, without a clear boundary separating them.
- 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_69f76e13edd081909101629aa829c4ad |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a00708ab11081909641d245c4282aa0 |
completed | May 10, 2026, 11:48 a.m. |
| PD | Predicate disambiguation | batch_6a00703daa0081908903ce3a28084d35 |
completed | May 10, 2026, 11:47 a.m. |
Created at: May 3, 2026, 4:06 p.m.