Triple
T32946347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frattesina |
E842811
|
entity |
| Predicate | rawMaterialsImported |
P11260
|
FINISHED |
| Object | glass raw materials |
—
|
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: glass raw materials | Statement: [Frattesina, rawMaterialsImported, glass raw materials]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rawMaterialsImported Context triple: [Frattesina, rawMaterialsImported, glass raw materials]
-
A.
importedCommodity
Indicates that a commodity has been brought into a country or region from abroad through import activities.
-
B.
imported
chosen
Indicates that something was brought into a country, system, or context from an external source.
-
C.
importedWith
Indicates that one entity was brought into a system, context, or location together with or as part of another entity during an import process.
-
D.
exportedGood
Indicates that a good has been sent out from one country or region to another as part of international trade.
-
E.
notableImportersUsingQuotas
Indicates that the subject is a prominent importer that employs import quotas as part of its trade or procurement practices.
- 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_69f3494a31f481909057136e49b4fe60 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d14056688190a07663ccfbbc4086 |
completed | May 3, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe5f93c8190995c53dbbe380a32 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:20 a.m.