Triple
T1172244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aduhelm |
E24938
|
entity |
| Predicate | administrationFrequency |
P16914
|
FINISHED |
| Object | once every four weeks |
—
|
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: once every four weeks | Statement: [Aduhelm, administrationFrequency, once every four weeks]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: administrationFrequency Context triple: [Aduhelm, administrationFrequency, once every four weeks]
-
A.
performedFrequency
chosen
Indicates how often an action or activity is carried out within a given time period.
-
B.
hasMaintenanceDose
Indicates that an entity is associated with a specific ongoing dose used to maintain a desired therapeutic effect after initial treatment.
-
C.
typeOfAdministration
Indicates the specific form or system of administration applied to or governing an entity.
-
D.
usesFrequency
Indicates that one entity employs or operates another entity at a specified rate, interval, or number of occurrences over time.
-
E.
awardedFrequency
Indicates how often an award or recognition is given within a specified time period.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcecab688190b21a926874cd98d1 |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.