Triple
T6005090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Edaravone |
E133688
|
entity |
| Predicate | hasBrandName |
P40804
|
FINISHED |
| Object |
Radicava ORS
Radicava ORS is an oral formulation of the drug edaravone used to slow functional decline in adults with amyotrophic lateral sclerosis (ALS).
|
E561114
|
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: Radicava ORS | Statement: [Edaravone, hasBrandName, Radicava ORS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Radicava ORS Context triple: [Edaravone, hasBrandName, Radicava ORS]
-
A.
Ors
Ors is a small commune in northern France, known for its World War I history and military cemetery.
-
B.
OROLSI
OROLSI is a United Nations office responsible for supporting rule of law, security sector reform, and related institution-building in conflict and post-conflict settings.
-
C.
Radicale
Radicale is a lightweight, open-source CalDAV and CardDAV server designed for simple calendar and contact synchronization.
-
D.
ORC
ORC (Optimized Row Columnar) is a highly efficient, columnar storage file format commonly used in big data systems to enable fast analytics and compression.
-
E.
ORC
ORC is the abbreviation for the Organized Reserve Corps, a former component of the United States Army Reserve structure.
- 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: Radicava ORS Triple: [Edaravone, hasBrandName, Radicava ORS]
Generated description
Radicava ORS is an oral formulation of the drug edaravone used to slow functional decline in adults with amyotrophic lateral sclerosis (ALS).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Radicava ORS Target entity description: Radicava ORS is an oral formulation of the drug edaravone used to slow functional decline in adults with amyotrophic lateral sclerosis (ALS).
-
A.
Ors
Ors is a small commune in northern France, known for its World War I history and military cemetery.
-
B.
OROLSI
OROLSI is a United Nations office responsible for supporting rule of law, security sector reform, and related institution-building in conflict and post-conflict settings.
-
C.
Radicale
Radicale is a lightweight, open-source CalDAV and CardDAV server designed for simple calendar and contact synchronization.
-
D.
ORC
ORC (Optimized Row Columnar) is a highly efficient, columnar storage file format commonly used in big data systems to enable fast analytics and compression.
-
E.
ORC
ORC is the abbreviation for the Organized Reserve Corps, a former component of the United States Army Reserve structure.
- 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f10d18081908c351170b7f58d3d |
completed | March 22, 2026, 8:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1088f5c84819094e4696c24c4dd79 |
completed | March 23, 2026, 9:31 a.m. |
| NEDg | Description generation | batch_69c1099f00f88190a5f1f0fafbb679c2 |
completed | March 23, 2026, 9:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c10a2ffdcc8190bfeebc59d98b2b29 |
completed | March 23, 2026, 9:38 a.m. |
Created at: March 22, 2026, 4:06 p.m.