Triple
T17893898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MVD Spetsnaz |
E447384
|
entity |
| Predicate | notableUnit |
P304
|
FINISHED |
| Object |
Skif
Skif is a distinguished special operations unit within Russia's MVD Spetsnaz forces, recognized for its elite training and high-risk counterterrorism and security missions.
|
E1294981
|
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: Skif | Statement: [MVD Spetsnaz, notableUnit, Skif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skif Context triple: [MVD Spetsnaz, notableUnit, Skif]
-
A.
Ski
Ski is a town in Viken county, Norway, serving as a regional commercial and transport hub southeast of Oslo.
-
B.
Ski
Ski is an American hip-hop record producer best known for his work with artists like Jay-Z and Camp Lo during the 1990s.
-
C.
Skikda
Skikda is a coastal city in northeastern Algeria known for its Mediterranean port, petrochemical industry, and nearby beaches.
-
D.
Esquías
Esquías is a town and municipality located in the Comayagua Department of central Honduras.
-
E.
Ski Apache
Ski Apache is a popular ski and snowboard resort in southern New Mexico known for its high-elevation slopes, scenic Sierra Blanca views, and winter recreation opportunities.
- 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: Skif Triple: [MVD Spetsnaz, notableUnit, Skif]
Generated description
Skif is a distinguished special operations unit within Russia's MVD Spetsnaz forces, recognized for its elite training and high-risk counterterrorism and security missions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skif Target entity description: Skif is a distinguished special operations unit within Russia's MVD Spetsnaz forces, recognized for its elite training and high-risk counterterrorism and security missions.
-
A.
Ski
Ski is a town in Viken county, Norway, serving as a regional commercial and transport hub southeast of Oslo.
-
B.
Ski
Ski is an American hip-hop record producer best known for his work with artists like Jay-Z and Camp Lo during the 1990s.
-
C.
Skikda
Skikda is a coastal city in northeastern Algeria known for its Mediterranean port, petrochemical industry, and nearby beaches.
-
D.
Esquías
Esquías is a town and municipality located in the Comayagua Department of central Honduras.
-
E.
Ski Apache
Ski Apache is a popular ski and snowboard resort in southern New Mexico known for its high-elevation slopes, scenic Sierra Blanca views, and winter recreation opportunities.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49d7ccf808190b4c1fd477043bcc8 |
completed | April 19, 2026, 9:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b22e4bc8190b9b9632870d10334 |
completed | May 12, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a031c438a448190aabbd2057b47a88b |
completed | May 12, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031cc67f7881908933c14a5386fb25 |
completed | May 12, 2026, 12:27 p.m. |
Created at: April 10, 2026, 10:19 a.m.