Triple
T22170103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bzyb River valley |
E547896
|
entity |
| Predicate | regionOfLinguisticDiversity |
P17400
|
FINISHED |
| Object | Abkhaz dialect continuum |
—
|
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: Abkhaz dialect continuum | Statement: [Bzyb River valley, regionOfLinguisticDiversity, Abkhaz dialect continuum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionOfLinguisticDiversity Context triple: [Bzyb River valley, regionOfLinguisticDiversity, Abkhaz dialect continuum]
-
A.
languageDiversity
Indicates the degree to which multiple distinct languages are present and used within a given context or population.
-
B.
ethnoLinguisticRegionOf
Indicates that a region is defined or characterized by the shared ethnic and linguistic identity of the group associated with it.
-
C.
minorityLanguageArea
Indicates that an area is one in which a minority language is traditionally spoken or officially recognized as having a special status.
-
D.
regionOfMajorLanguage
Indicates the geographic region where a particular language is predominantly spoken or holds major usage.
-
E.
linguisticArea
chosen
Indicates a regional context in which languages share features due to geographic proximity and contact rather than common genetic origin.
- 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a67f4dc81909cc5f8d2c1fe6129 |
completed | April 28, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e71b41555881909b8e22718974d527 |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:34 p.m.