Triple
T11459592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoshkar-Ola |
E271616
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object |
Malaya Kokshaga
Malaya Kokshaga is a river in the Mari El Republic of Russia that flows through the city of Yoshkar-Ola and is a tributary of the Volga River.
|
E926818
|
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: Malaya Kokshaga | Statement: [Yoshkar-Ola, hasRiver, Malaya Kokshaga]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malaya Kokshaga Context triple: [Yoshkar-Ola, hasRiver, Malaya Kokshaga]
-
A.
Baikasai
Baikasai is a traditional plum blossom festival held at Kyoto’s Kitano Tenmangū Shrine, featuring seasonal plum viewing and cultural performances.
-
B.
East Belukha
East Belukha is one of the twin summits of Belukha Mountain in the Altai range, known for its glaciated slopes and challenging alpine climbing routes.
-
C.
Sayran
Sayran is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
-
D.
Tunuyán
Tunuyán is a city in Mendoza Province, Argentina, known for its wine-producing region in the Uco Valley at the foothills of the Andes.
-
E.
Tatitlek
Tatitlek is a small Alaska Native village in south-central Alaska, traditionally inhabited by the Alutiiq people and known for its subsistence lifestyle and coastal setting.
- 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: Malaya Kokshaga Triple: [Yoshkar-Ola, hasRiver, Malaya Kokshaga]
Generated description
Malaya Kokshaga is a river in the Mari El Republic of Russia that flows through the city of Yoshkar-Ola and is a tributary of the Volga River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malaya Kokshaga Target entity description: Malaya Kokshaga is a river in the Mari El Republic of Russia that flows through the city of Yoshkar-Ola and is a tributary of the Volga River.
-
A.
Baikasai
Baikasai is a traditional plum blossom festival held at Kyoto’s Kitano Tenmangū Shrine, featuring seasonal plum viewing and cultural performances.
-
B.
East Belukha
East Belukha is one of the twin summits of Belukha Mountain in the Altai range, known for its glaciated slopes and challenging alpine climbing routes.
-
C.
Sayran
Sayran is a metro station on the Almaty Metro system in Almaty, Kazakhstan.
-
D.
Tunuyán
Tunuyán is a city in Mendoza Province, Argentina, known for its wine-producing region in the Uco Valley at the foothills of the Andes.
-
E.
Tatitlek
Tatitlek is a small Alaska Native village in south-central Alaska, traditionally inhabited by the Alutiiq people and known for its subsistence lifestyle and coastal setting.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d822f2138081909408c7916cef99c9 |
completed | April 9, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5e911c03c819081f1447b320dd2f2 |
completed | April 20, 2026, 8:51 a.m. |
| NEDg | Description generation | batch_69e5eeb38d588190b51b6c299bb717dd |
completed | April 20, 2026, 9:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e5f19dd3348190b037e09c87b528e9 |
completed | April 20, 2026, 9:27 a.m. |
Created at: April 8, 2026, 9:35 p.m.