Triple
T21039449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Digor Valley |
E518280
|
entity |
| Predicate | regionLanguage |
P10892
|
FINISHED |
| Object | Digor dialect of Ossetian |
—
|
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: Digor dialect of Ossetian | Statement: [Digor Valley, regionLanguage, Digor dialect of Ossetian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Digor dialect of Ossetian Context triple: [Digor Valley, regionLanguage, Digor dialect of Ossetian]
-
A.
Ossetian language
chosen
The Ossetian language is an Eastern Iranian language spoken primarily in the Caucasus region of Russia, especially in North and South Ossetia.
-
B.
Yergyudzh dialect
The Yergyudzh dialect is a regional variety of the Kryts language, spoken by a subset of the Kryts people in the Caucasus.
-
C.
Oroqen dialect
The Oroqen dialect is a regional variety of the Tungusic Evenki language spoken primarily by the Oroqen people of northeastern China.
-
D.
Sagaysky dialect
The Sagaysky dialect is a regional variety of the Khakas language spoken by the Sagay subgroup of the Khakas people in Siberia.
-
E.
Kyzyl dialect
The Kyzyl dialect is a regional variety of the Khakas language spoken by Khakas communities in parts of Siberia, Russia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b50438e08190917e2538bb8bc034 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fceed9148190903adb3b55f65242 |
completed | April 21, 2026, 4:28 a.m. |
Created at: April 16, 2026, 2:14 p.m.