Triple
T21400993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Contrex |
E527909
|
entity |
| Predicate | calciumContent |
P111435
|
FINISHED |
| Object | very high |
—
|
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: very high | Statement: [Contrex, calciumContent, very high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: calciumContent Context triple: [Contrex, calciumContent, very high]
-
A.
hasNutrientContent
chosen
Indicates that one entity contains or provides a specified amount or type of nutrient relative to another entity or standard.
-
B.
carbonateContent
Indicates the proportion or amount of carbonate present in a given material or sample.
-
C.
lactoseContent
Indicates the amount or presence of lactose contained within a given substance or product.
-
D.
nutritionComponent
Indicates that one entity is a nutritional constituent, ingredient, or component of another (typically a food, diet, or nutritional product).
-
E.
nutritionalRequirement
Indicates that one entity has a need for certain nutrients or dietary conditions that must be met by another entity or resource.
- 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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b16f7c5081909475eb5bb6177955 |
completed | April 22, 2026, 11:30 a.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:15 p.m.