Triple
T33790593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | aldrin |
E865920
|
entity |
| Predicate | hasPrimaryExposureRoute |
P52267
|
FINISHED |
| Object | ingestion |
—
|
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: ingestion | Statement: [aldrin, hasPrimaryExposureRoute, ingestion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryExposureRoute Context triple: [aldrin, hasPrimaryExposureRoute, ingestion]
-
A.
routeOfExposure
chosen
Indicates the pathway or method by which an agent, substance, or factor comes into contact with or enters an organism or system.
-
B.
isPrimarilyTransmitted
Indicates that something (such as a disease, signal, or information) is mainly passed or spread from one entity to another through a particular medium, route, or mechanism.
-
C.
hasWeatherExposure
Indicates that something is subject to or affected by outdoor weather conditions or elements.
-
D.
hasExposuresIn
Indicates that an entity is subject to or involved in certain risks, conditions, or influencing factors within a specified context, environment, or domain.
-
E.
hasPrimaryInjectionSite
Indicates that an entity (such as a treatment or substance) is associated with the main anatomical location where it is injected.
- 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_69f3498f99f481909cb271f4965a7594 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a01d339feac8190a3de56b24db67163 |
completed | May 11, 2026, 1:01 p.m. |
| PD | Predicate disambiguation | batch_6a01d2bc1f408190a04869f95e6941ee |
completed | May 11, 2026, 12:59 p.m. |
Created at: May 1, 2026, 1:45 a.m.