Triple
T23432316
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volga-Ural region |
E563364
|
entity |
| Predicate | hasEthnicGroup |
P1898
|
FINISHED |
| Object | Nogais |
—
|
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: Nogais | Statement: [Volga-Ural region, hasEthnicGroup, Nogais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nogais Context triple: [Volga-Ural region, hasEthnicGroup, Nogais]
-
A.
Nogais
chosen
Nogais are a Turkic ethnic group traditionally known as semi-nomadic pastoralists of the North Caucasus and Caspian steppe regions.
-
B.
Noghere
Noghere is a locality within the municipality of Muggia in northeastern Italy, near the Gulf of Trieste.
-
C.
Nog
Nog is a Ferengi Starfleet officer from Star Trek: Deep Space Nine who becomes the first of his species to join Starfleet and undergoes significant personal growth throughout the series.
-
D.
Nog
Nog is an experimental 1969 novel by Rudy Wurlitzer, known for its hallucinatory, fragmented narrative and status as a cult classic of postmodern American fiction.
-
E.
Niegocin
Niegocin is a large, popular recreational lake in northeastern Poland’s Masurian Lake District, known for sailing, water sports, and scenic natural surroundings.
- 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_69e24553980c8190bb66a2ae0bdab125 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a5d920548190904f80c7c40cba06 |
completed | April 29, 2026, 6:31 a.m. |
Created at: April 17, 2026, 5:49 p.m.