Triple
T17265744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Обь |
E419121
|
entity |
| Predicate | имеетПриток |
P94832
|
FINISHED |
| Object |
Вах
Вах — река в Западной Сибири России, протекающая по территории Ханты-Мансийского автономного округа и известная как один из значимых водных путей региона.
|
E1259996
|
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: Вах | Statement: [Обь, имеетПриток, Вах]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Вах Context triple: [Обь, имеетПриток, Вах]
-
A.
Vago
Vago is a surname most notably associated with Pierre Vago, a prominent 20th-century French architect and influential figure in modern architecture.
-
B.
Vorokhta
Vorokhta is a Ukrainian mountain resort village in the Carpathians, known as a gateway for hiking and skiing in the Hoverla and Chornohora ranges.
-
C.
Varsham
Varsham is a 2004 Telugu romantic action film that significantly boosted actor Prabhas's popularity in the Indian film industry.
-
D.
Vyazhan
Vyazhan is the Tamil calendar day associated with the planet Jupiter and traditionally linked to Thursday.
-
E.
Vasishka
Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
- 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: Вах Triple: [Обь, имеетПриток, Вах]
Generated description
Вах — река в Западной Сибири России, протекающая по территории Ханты-Мансийского автономного округа и известная как один из значимых водных путей региона.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Вах Target entity description: Вах — река в Западной Сибири России, протекающая по территории Ханты-Мансийского автономного округа и известная как один из значимых водных путей региона.
-
A.
Vago
Vago is a surname most notably associated with Pierre Vago, a prominent 20th-century French architect and influential figure in modern architecture.
-
B.
Vorokhta
Vorokhta is a Ukrainian mountain resort village in the Carpathians, known as a gateway for hiking and skiing in the Hoverla and Chornohora ranges.
-
C.
Varsham
Varsham is a 2004 Telugu romantic action film that significantly boosted actor Prabhas's popularity in the Indian film industry.
-
D.
Vyazhan
Vyazhan is the Tamil calendar day associated with the planet Jupiter and traditionally linked to Thursday.
-
E.
Vasishka
Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f44ec7c81909a925fc8692b0a6c |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794641648190a5db87ecb359c17a |
completed | May 11, 2026, 6:37 a.m. |
| NEDg | Description generation | batch_6a017abddcc48190872f77b62ac9896e |
completed | May 11, 2026, 6:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a017b7e72908190913215717fb04b0f |
completed | May 11, 2026, 6:47 a.m. |
Created at: April 10, 2026, 5:40 a.m.