Triple
T8961459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smuts |
E214014
|
entity |
| Predicate | impactOnFood |
P10539
|
FINISHED |
| Object | contamination of grain with spores |
—
|
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: contamination of grain with spores | Statement: [Smuts, impactOnFood, contamination of grain with spores]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impactOnFood Context triple: [Smuts, impactOnFood, contamination of grain with spores]
-
A.
impactOnHumans
Indicates a relationship where something produces an effect, influence, or consequence on humans.
-
B.
mainFoodAffected
chosen
Indicates that a primary or central food item is directly impacted or influenced by a specified action or condition.
-
C.
foodEffect
Indicates how consuming a particular food influences or changes another entity, such as an organism, condition, or process.
-
D.
diet
Indicates that an entity regularly consumes a particular type or range of food as its primary source of nutrition.
-
E.
focusesOnNutrition
Indicates that the subject’s primary attention, activity, or content is centered on nutrition-related topics, practices, or goals.
- 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_69ca839cd6008190a1546a701a56710c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6748baa88190ac54e701dc4d6212 |
completed | April 1, 2026, 12:31 a.m. |
| PD | Predicate disambiguation | batch_69cc5ed74d288190b712d739805579dc |
completed | March 31, 2026, 11:55 p.m. |
Created at: March 30, 2026, 7 p.m.