Triple
T18714439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Терек |
E457597
|
entity |
| Predicate | nameInRussian |
P20560
|
FINISHED |
| Object | Терек |
—
|
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: Терек | Statement: [Терек, nameInRussian, Терек]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Терек Context triple: [Терек, nameInRussian, Терек]
-
A.
Терек
chosen
Терек — крупная река на Северном Кавказе, протекающая через Россию и Грузию и впадающая в Каспийское море.
-
B.
Жети-Өгүз
Жети-Өгүз is a famous scenic gorge and natural landmark in Kyrgyzstan, known for its striking red rock formations and mountain landscapes.
-
C.
Saryagash
Saryagash is a town in southern Kazakhstan known for its mineral springs and proximity to the Uzbek border.
-
D.
Kyzyl-Suu
Kyzyl-Suu is a town in eastern Kyrgyzstan that serves as a local center near the southern shore of Lake Issyk-Kul.
-
E.
Saryk
The Saryk are a historically significant Turkmen tribe known for their distinct cultural traditions and contributions to the ethnogenesis of the Turkmen people in Central Asia.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56ab4ee6881908f19558937cbb078 |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 10, 2026, 11:50 a.m.