Triple
T3740580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Frutera |
E79687
|
entity |
| Predicate | refersToCompanyType |
P3504
|
FINISHED |
| Object | multinational corporation |
—
|
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: multinational corporation | Statement: [La Frutera, refersToCompanyType, multinational corporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToCompanyType Context triple: [La Frutera, refersToCompanyType, multinational corporation]
-
A.
hasParentCompanyType
Indicates that an entity is associated with a parent company of a specified organizational or business type.
-
B.
backedCompanyType
Indicates the type or category of company that is being financially supported or invested in by another party.
-
C.
belongsToCompany
Indicates that an entity is owned, employed, or otherwise formally associated with a specific company.
-
D.
isPrivateCompany
Indicates that an entity operates as a privately held company, not publicly traded on a stock exchange.
-
E.
hasTypeOfOrganization
chosen
Indicates that an entity is classified as belonging to a particular type or category of organization.
- 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_69ad8b115610819095b02007da5ca3cb |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb5344fc8190b183aca5c04e3bcc |
completed | March 8, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_69adc048f28c819092bed16a95a3cac1 |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:34 p.m.