Triple
T28531249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milk |
E722046
|
entity |
| Predicate | pasteurization |
P53129
|
FINISHED |
| Object | Commonly heat-treated to kill pathogens |
—
|
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: Commonly heat-treated to kill pathogens | Statement: [Milk, pasteurization, Commonly heat-treated to kill pathogens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pasteurization Context triple: [Milk, pasteurization, Commonly heat-treated to kill pathogens]
-
A.
pasteurisationRequirement
Indicates that a process, product, or context is subject to a requirement that it be pasteurised (treated by pasteurisation) to meet safety or regulatory standards.
-
B.
fermentationMethod
Indicates the process or technique by which a substance is fermented to achieve a desired transformation or product.
-
C.
milkTreatment
chosen
Indicates that an entity is subjected to a process or method of treating or processing milk.
-
D.
foodProcessing
Indicates a process in which raw or semi-processed food materials are transformed, prepared, or treated to produce consumable food products.
-
E.
isFermentedAs
Indicates that one substance undergoes a fermentation process to become another specified product.
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64fd617588190904f94042d6f3eb1 |
completed | May 2, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:28 a.m.