Triple
T19515711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yakult Atoms |
E488271
|
entity |
| Predicate | corporateOwnerIndustry |
P45634
|
FINISHED |
| Object | food and beverage |
—
|
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: food and beverage | Statement: [Yakult Atoms, corporateOwnerIndustry, food and beverage]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: corporateOwnerIndustry Context triple: [Yakult Atoms, corporateOwnerIndustry, food and beverage]
-
A.
hasParentCompanyIndustry
Indicates that an entity’s parent company operates in, or is associated with, a specified industry.
-
B.
ownerSector
chosen
Indicates the sector or industry category to which the owner of an entity belongs.
-
C.
industryOfUnderlyingCompany
Indicates the industry sector in which the underlying company associated with this entity operates.
-
D.
targetCompanyIndustry
Indicates that a company operates within or is associated with a specified industry sector.
-
E.
hasPrincipalIndustry
Indicates that an entity’s main or primary industry of operation is the specified industry.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6359b90f08190b38359dc9e97e11c |
completed | April 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7bd25881908caa04eaef1f6718 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:40 p.m.