Triple
T13642756
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poland Spring |
E326023
|
entity |
| Predicate | hasNutrientContent |
P111435
|
FINISHED |
| Object | low mineral content |
—
|
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: low mineral content | Statement: [Poland Spring, hasNutrientContent, low mineral content]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNutrientContent Context triple: [Poland Spring, hasNutrientContent, low mineral content]
-
A.
hasNutrientStatus
Indicates that an entity possesses a particular nutritional condition or level, such as being deficient, sufficient, or excessive in specific nutrients.
-
B.
nutritionComponent
Indicates that one entity is a nutritional constituent, ingredient, or component of another (typically a food, diet, or nutritional product).
-
C.
hasCalories
Indicates that an entity contains a specified amount of caloric energy.
-
D.
hasSugarContent
Indicates that one entity possesses or contains a specified amount or level of sugar.
-
E.
nutritionStandard
Indicates that something complies with, or is evaluated against, a defined set of nutritional guidelines or requirements.
- F. None of above. chosen
Provenance (4 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc60635d08190899806fe8936f02a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe85e1c4819095194f4b7f9f6118 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc6043e148190a2a25f929cfa35e5 |
completed | April 12, 2026, 4:19 p.m. |
Created at: April 9, 2026, 9:51 p.m.