Triple
T29440191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gunzibs |
E746689
|
entity |
| Predicate | autochthonousTo |
P75273
|
FINISHED |
| Object | Dagestan |
—
|
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: Dagestan | Statement: [Gunzibs, autochthonousTo, Dagestan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: autochthonousTo Context triple: [Gunzibs, autochthonousTo, Dagestan]
-
A.
autochthonousMinorityIn
Indicates that a minority group is indigenous or native to, and historically rooted in, a particular country or region.
-
B.
historicallyNativeTo
chosen
Indicates that an entity has been originally or traditionally present in, or originating from, a particular place or region over a significant period in history.
-
C.
originalInhabitant
Indicates that an entity was among the first or earliest residents of a particular place or territory.
-
D.
originalHomeland
Indicates the place or region that is considered the ancestral or earliest homeland of an entity.
-
E.
nativeOf
Indicates that an entity originates from or was born in a particular place, region, or country.
- 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_69f0a7a180e48190ae775e40047dbcb5 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66b1c118881908d2cbbf894a0a1ce |
completed | May 2, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:21 p.m.