Triple
T784821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Costa Rica |
E16577
|
entity |
| Predicate | importantExport |
P3026
|
FINISHED |
| Object | coffee |
—
|
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: coffee | Statement: [Costa Rica, importantExport, coffee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importantExport Context triple: [Costa Rica, importantExport, coffee]
-
A.
isImportantFor
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
B.
imported
Indicates that something was brought into a country, system, or context from an external source.
-
C.
majorExport
chosen
Indicates that something is a primary or significant export product or resource of a given entity (such as a country or region).
-
D.
hasNationalImportance
Indicates that something possesses significance or relevance at the level of an entire nation, rather than just local or regional importance.
-
E.
politicalImportance
Indicates the degree to which something holds significance, influence, or priority within political processes, decisions, or power structures.
- 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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a76b0d6c8190a09b1a0bd4a6eeec |
completed | March 1, 2026, 8:54 p.m. |
| PD | Predicate disambiguation | batch_69a4a50db97c8190a1c55673f4a357b4 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.