Triple
T2371050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rituxan |
E46089
|
entity |
| Predicate | hasBiosimilar |
P37220
|
FINISHED |
| Object |
Riabni
Riabni is a biosimilar monoclonal antibody to rituximab used in the treatment of certain cancers and autoimmune diseases.
|
E261832
|
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: Riabni | Statement: [Rituxan, hasBiosimilar, Riabni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riabni Context triple: [Rituxan, hasBiosimilar, Riabni]
-
A.
Serebryanye Prudy
Serebryanye Prudy is a rural locality in Moscow Oblast, Russia, historically notable as the birthplace of Soviet Marshal Vasily Chuikov.
-
B.
Dzvina
Dzvina is the Belarusian name for the Daugava River, a major Eastern European river flowing through Russia, Belarus, and Latvia into the Baltic Sea.
-
C.
Urzhum
Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
-
D.
Rissne
Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
-
E.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
- 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: Riabni Triple: [Rituxan, hasBiosimilar, Riabni]
Generated description
Riabni is a biosimilar monoclonal antibody to rituximab used in the treatment of certain cancers and autoimmune diseases.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Riabni Target entity description: Riabni is a biosimilar monoclonal antibody to rituximab used in the treatment of certain cancers and autoimmune diseases.
-
A.
Serebryanye Prudy
Serebryanye Prudy is a rural locality in Moscow Oblast, Russia, historically notable as the birthplace of Soviet Marshal Vasily Chuikov.
-
B.
Dzvina
Dzvina is the Belarusian name for the Daugava River, a major Eastern European river flowing through Russia, Belarus, and Latvia into the Baltic Sea.
-
C.
Urzhum
Urzhum is a small historic town in Kirov Oblast, Russia, known as the birthplace of prominent Soviet leader Sergei Kirov.
-
D.
Rissne
Rissne is a residential district and urban area in the Stockholm metropolitan region of Sweden, known for its mix of apartment housing and proximity to public transit.
-
E.
Yenakiieve
Yenakiieve is an industrial city in eastern Ukraine, historically known for its coal mining and metallurgical industries.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc771302481908540e31abb5aeeba |
completed | March 7, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8a2b1448190b19179cf379993ee |
completed | March 9, 2026, 11:01 a.m. |
| NEDg | Description generation | batch_69aeac6b13ac81909042dddef15ec924 |
completed | March 9, 2026, 11:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aead16b0a881909103e26053cfad84 |
completed | March 9, 2026, 11:20 a.m. |
Created at: March 4, 2026, 7:56 p.m.