Triple
T7188725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | sievert |
E167632
|
entity |
| Predicate | isBiologicallyWeighted |
P40326
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [sievert, isBiologicallyWeighted, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBiologicallyWeighted Context triple: [sievert, isBiologicallyWeighted, true]
-
A.
hasBiologicalComponents
Indicates that an entity is composed of, contains, or is associated with one or more biological parts or substances.
-
B.
biologicalCharacteristic
chosen
Indicates that one entity possesses or exhibits a particular biological trait, feature, or property in relation to another.
-
C.
biologicalRole
Indicates the functional role or purpose that one biological entity has in relation to another or within a biological process.
-
D.
isHeavilyWeightedToward
Indicates that something is strongly biased or disproportionately oriented in favor of one side, option, or aspect over others.
-
E.
O1Biotype
Indicates that an entity has or is classified by a specific biological type or category.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e8e3d9188190ba2792098d76fb86 |
completed | March 27, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69c6e752385c819096fbab55566ee2a8 |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:50 p.m.