Triple
T37706601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nurofen |
E939212
|
entity |
| Predicate | maximumDailyDoseMg |
P37216
|
FINISHED |
| Object | 1200 (over-the-counter use) |
—
|
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: 1200 (over-the-counter use) | Statement: [Nurofen, maximumDailyDoseMg, 1200 (over-the-counter use)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumDailyDoseMg Context triple: [Nurofen, maximumDailyDoseMg, 1200 (over-the-counter use)]
-
A.
maximumDailyDoseTypicalAdult
chosen
Indicates the highest amount of a substance that a typical adult is recommended or allowed to take in one day.
-
B.
hasCommonStartingDose_mgPerDay
Indicates that two treatments share the same typical initial dosage, measured in milligrams per day.
-
C.
typicalDoseCount
Indicates the usual number of doses administered or taken in a standard course of use.
-
D.
hasDefinedDailyDose
Indicates that an entity has an established standard amount intended to be taken or used per day.
-
E.
dosageLevel
Indicates the specific amount or intensity of a substance or treatment administered in a given dose.
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd8ccbd4c88190b13aae0673b3c821 |
completed | May 8, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69fd8ae2227c819089546f5c3629799e |
completed | May 8, 2026, 7:04 a.m. |
Created at: May 3, 2026, 4:18 p.m.