Triple
T10989522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 81-740/741 Rusich |
E259718
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Rusich
Rusich is a series of modern Russian metro trains used in several cities’ subway systems, known for their articulated design and improved passenger comfort.
|
E898415
|
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: Rusich | Statement: [81-740/741 Rusich, nickname, Rusich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rusich Context triple: [81-740/741 Rusich, nickname, Rusich]
-
A.
Ruschuk
Ruschuk is the historical name for the city of Ruse, a major port on the Danube River in northeastern Bulgaria.
-
B.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
C.
Kosmach
Kosmach is a rural village located in western Ukraine’s Ivano-Frankivsk Oblast, known for its traditional Hutsul culture and Carpathian mountain scenery.
-
D.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
-
E.
Vaslav
Vaslav is the given name of Vaslav Nijinsky, the legendary early 20th-century ballet dancer and choreographer renowned for his groundbreaking work with the Ballets Russes.
- 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: Rusich Triple: [81-740/741 Rusich, nickname, Rusich]
Generated description
Rusich is a series of modern Russian metro trains used in several cities’ subway systems, known for their articulated design and improved passenger comfort.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rusich Target entity description: Rusich is a series of modern Russian metro trains used in several cities’ subway systems, known for their articulated design and improved passenger comfort.
-
A.
Ruschuk
Ruschuk is the historical name for the city of Ruse, a major port on the Danube River in northeastern Bulgaria.
-
B.
Tsitska
Tsitska is a Georgian white grape variety from the Imereti region, known for producing fresh, high-acidity wines often used in both still and sparkling styles.
-
C.
Kosmach
Kosmach is a rural village located in western Ukraine’s Ivano-Frankivsk Oblast, known for its traditional Hutsul culture and Carpathian mountain scenery.
-
D.
Oreshek
Oreshek is the historic Russian fortress on Lake Ladoga that later gave rise to the town of Shlisselburg.
-
E.
Vaslav
Vaslav is the given name of Vaslav Nijinsky, the legendary early 20th-century ballet dancer and choreographer renowned for his groundbreaking work with the Ballets Russes.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d787b6d0b48190aaf959e2609d34e5 |
completed | April 9, 2026, 11:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e344f95ab88190bbce8f0eab0b2713 |
completed | April 18, 2026, 8:46 a.m. |
| NEDg | Description generation | batch_69e3556e8b408190a02a1fe194ae5750 |
completed | April 18, 2026, 9:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3593b0f8481909ed7a90f8bb9839d |
completed | April 18, 2026, 10:13 a.m. |
Created at: April 8, 2026, 9:24 p.m.