Triple
T19333375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aghul |
E483553
|
entity |
| Predicate | neighboringLanguages |
P16383
|
FINISHED |
| Object | Rutul |
—
|
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: Rutul | Statement: [Aghul, neighboringLanguages, Rutul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rutul Context triple: [Aghul, neighboringLanguages, Rutul]
-
A.
Rutul
chosen
Rutul is a Northeast Caucasian language spoken by the Rutul people primarily in southern Dagestan, Russia, and parts of northern Azerbaijan.
-
B.
Rutja
Rutja is a small village in northern Estonia, located within Haljala Parish in Lääne-Viru County.
-
C.
Razdolnoye
Razdolnoye is a rural settlement located in Russia’s Primorsky Krai, known for its position near the border with China and its role as a local agricultural and transport hub.
-
D.
Turzovka
Turzovka is a small town in northern Slovakia, situated in the Kysuce region near the Czech border and known for its surrounding highlands and pilgrimage site.
-
E.
Terebovlia
Terebovlia is a historic town in western Ukraine known for its medieval fortress ruins and role as a regional cultural center.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e61642f49c81909226cfd701f7c139 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.