Triple
T3740581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Frutera |
E79687
|
entity |
| Predicate | refersToCompanyRole |
P4342
|
FINISHED |
| Object | major banana exporter |
—
|
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: major banana exporter | Statement: [La Frutera, refersToCompanyRole, major banana exporter]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: refersToCompanyRole Context triple: [La Frutera, refersToCompanyRole, major banana exporter]
-
A.
refersToRole
chosen
Indicates that one entity designates, mentions, or points to another entity specifically in its capacity as a role or position.
-
B.
underlyingCompanyRole
Indicates the specific function, position, or responsibility an entity holds within or in relation to a company.
-
C.
belongsToCompany
Indicates that an entity is owned, employed, or otherwise formally associated with a specific company.
-
D.
refersToPerson
Indicates that one entity is making reference to, mentioning, or pointing specifically to a particular person.
-
E.
employedRole
Indicates that an entity holds or performs a specific role or position within an employment or work context.
- 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.