Triple
T1103642
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tecfidera |
E25438
|
entity |
| Predicate | hasGenericName |
P23148
|
FINISHED |
| Object | dimethyl fumarate |
—
|
LITERAL FINISHED |
How this triple was built (2 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: dimethyl fumarate | Statement: [Tecfidera, hasGenericName, dimethyl fumarate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenericName Context triple: [Tecfidera, hasGenericName, dimethyl fumarate]
-
A.
hasGivenNameUsage
Indicates that an entity is associated with a particular way or context in which its given name is used.
-
B.
hasTypeName
Indicates that an entity is associated with a specific type name used to classify or identify its kind.
-
C.
hasNoWidelyUsedLocalName
Indicates that the entity does not have a commonly used or widely recognized name in the local language or region.
-
D.
hasCodeName
Indicates that an entity is known or referred to by a particular alternative name or alias, often used for secrecy or distinction.
-
E.
hasTypeGenus
Indicates that one entity is the type genus that formally defines or represents the taxonomic group of the other entity.
- F. None of above. chosen
Provenance (4 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9c375848190baec4d534f489616 |
completed | March 1, 2026, 10:12 p.m. |
| PD | Predicate disambiguation | batch_69a4b7472c848190b0643872f67084a2 |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7da38888190a118ef20ce4ae9aa |
completed | March 1, 2026, 10:04 p.m. |
Created at: March 1, 2026, 7:43 p.m.