Triple
T17325861
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeti-Ögüz Gorge |
E420685
|
entity |
| Predicate | hasLocalName |
P6353
|
FINISHED |
| Object |
Жети-Өгүз
Жети-Өгүз is a famous scenic gorge and natural landmark in Kyrgyzstan, known for its striking red rock formations and mountain landscapes.
|
E1263485
|
NE FINISHED |
How this triple was built (4 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: Жети-Өгүз | Statement: [Jeti-Ögüz Gorge, hasLocalName, Жети-Өгүз]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Жети-Өгүз Context triple: [Jeti-Ögüz Gorge, hasLocalName, Жети-Өгүз]
-
A.
Saryagash
Saryagash is a town in southern Kazakhstan known for its mineral springs and proximity to the Uzbek border.
-
B.
Khatanga
Khatanga is a remote Arctic port settlement in northern Siberia, Russia, serving as a key access point to the Laptev Sea and surrounding tundra regions.
-
C.
Kochkor-Ata
Kochkor-Ata is a town in western Kyrgyzstan known for its role in regional industry and its location near key transport and energy infrastructure.
-
D.
Терек
Терек — крупная река на Северном Кавказе, протекающая через Россию и Грузию и впадающая в Каспийское море.
-
E.
Kara-Suu
Kara-Suu is a town in southern Kyrgyzstan that serves as an important local trade and transport hub near the border with Uzbekistan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Жети-Өгүз Triple: [Jeti-Ögüz Gorge, hasLocalName, Жети-Өгүз]
Generated description
Жети-Өгүз is a famous scenic gorge and natural landmark in Kyrgyzstan, known for its striking red rock formations and mountain landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Жети-Өгүз Target entity description: Жети-Өгүз is a famous scenic gorge and natural landmark in Kyrgyzstan, known for its striking red rock formations and mountain landscapes.
-
A.
Saryagash
Saryagash is a town in southern Kazakhstan known for its mineral springs and proximity to the Uzbek border.
-
B.
Khatanga
Khatanga is a remote Arctic port settlement in northern Siberia, Russia, serving as a key access point to the Laptev Sea and surrounding tundra regions.
-
C.
Kochkor-Ata
Kochkor-Ata is a town in western Kyrgyzstan known for its role in regional industry and its location near key transport and energy infrastructure.
-
D.
Терек
Терек — крупная река на Северном Кавказе, протекающая через Россию и Грузию и впадающая в Каспийское море.
-
E.
Kara-Suu
Kara-Suu is a town in southern Kyrgyzstan that serves as an important local trade and transport hub near the border with Uzbekistan.
- F. None of above. chosen
Provenance (5 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d24e548190a766dd246a4d63d4 |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4c2dc08190b60982abc9ac7c9c |
completed | May 11, 2026, 7:59 a.m. |
| NEDg | Description generation | batch_6a018f2358b481908226aa84a7bd9d7f |
completed | May 11, 2026, 8:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0190125abc8190ad4d1f500e3513b3 |
completed | May 11, 2026, 8:15 a.m. |
Created at: April 10, 2026, 5:43 a.m.