Triple
T27622217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexican foreign trade |
E700607
|
entity |
| Predicate | mainImportProducts |
P137652
|
FINISHED |
| Object | machinery |
—
|
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: machinery | Statement: [Mexican foreign trade, mainImportProducts, machinery]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainImportProducts Context triple: [Mexican foreign trade, mainImportProducts, machinery]
-
A.
mainImportCategory
chosen
Indicates the primary category under which an entity’s imported items or resources are classified.
-
B.
firstProducts
Indicates that the related entities are the initial or earliest products in a sequence, collection, or set.
-
C.
exportProduct
Indicates that an entity sends or sells a product from its own country or region to another country or external market.
-
D.
primaryImports
Indicates that one entity is the main or predominant source from which another entity imports goods, services, or resources.
-
E.
originalProducts
Indicates that one entity consists of or is derived from the initial or source products associated with 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_69ef6a4f1d9c8190b0705acda054368d |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f643ed0b7481908cf25f3afec0a61d |
completed | May 2, 2026, 6:35 p.m. |
| PD | Predicate disambiguation | batch_69f641dc8ff48190ab575d855616580c |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 2:15 p.m.