Triple
T38646089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alicyclobacillus |
E938719
|
entity |
| Predicate | spoilageIssueIn |
P62598
|
FINISHED |
| Object | orange juice |
—
|
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: orange juice | Statement: [Alicyclobacillus, spoilageIssueIn, orange juice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spoilageIssueIn Context triple: [Alicyclobacillus, spoilageIssueIn, orange juice]
-
A.
involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
-
B.
mainFoodAffected
Indicates that a primary or central food item is directly impacted or influenced by a specified action or condition.
-
C.
possibleIssue
Indicates that there is a potential or suspected problem, defect, or undesired condition associated with the referenced entity or situation, though it is not yet confirmed.
-
D.
underlyingIssue
Indicates that one situation, problem, or condition is the fundamental cause or root problem behind another.
-
E.
spoilsDisposition
chosen
Indicates that one entity negatively alters, ruins, or undermines the intended state, condition, or arrangement of another entity.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.