Triple
T34090985
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GW Pharmaceuticals |
E874301
|
entity |
| Predicate | SativexIndication |
P113308
|
FINISHED |
| Object | multiple sclerosis spasticity |
—
|
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: multiple sclerosis spasticity | Statement: [GW Pharmaceuticals, SativexIndication, multiple sclerosis spasticity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SativexIndication Context triple: [GW Pharmaceuticals, SativexIndication, multiple sclerosis spasticity]
-
A.
treatmentIndication
chosen
Indicates that a treatment is intended to address, alleviate, or prevent a particular condition, symptom, or medical indication.
-
B.
isIndicatedAsMonotherapyFor
Indicates that a treatment is recommended or used alone, without combination with other therapies, for a particular condition or purpose.
-
C.
indicationTestedIn
Indicates that a particular medical indication (disease or condition) has been evaluated or tested in a specified clinical study or experimental context.
-
D.
indicationRegion
Indicates that something serves as a sign, marker, or signal specifically associated with a particular geographic or spatial region.
-
E.
interpretsWeedsAs
Indicates that one entity perceives, understands, or classifies another entity specifically as weeds.
- F. None of above.
Provenance (3 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_69f349a61d448190b74642f325d3eb7a |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70fb4f18c819099ef6d9177b7d205 |
completed | May 3, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f70f3a54d481909ba6bdda3647b761 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:52 a.m.