Triple
T28310084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CETME |
E713969
|
entity |
| Predicate | exportedDesignsTo |
P5775
|
FINISHED |
| Object | Germany |
—
|
NE NERFINISHED |
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: Germany | Statement: [CETME, exportedDesignsTo, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exportedDesignsTo Context triple: [CETME, exportedDesignsTo, Germany]
-
A.
exportedTo
chosen
Indicates that goods, services, or resources are sent out from one entity or region to another for trade or sale.
-
B.
isExportOrientedDesign
Indicates that something is designed primarily to serve external or foreign markets rather than domestic use.
-
C.
exportedVia
Indicates that something is sent out or made available to an external destination through a specified medium, channel, or mechanism.
-
D.
numberOfDesigns
Indicates the quantitative count of designs associated with a given entity or context.
-
E.
designsFor
Indicates that one entity creates or plans something specifically intended to serve, suit, or be used by 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f65876c52c8190bc889c7a67bd07f3 |
completed | May 2, 2026, 8:03 p.m. |
| PD | Predicate disambiguation | batch_69f6575d89788190aca478e4aea05a65 |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 27, 2026, 11:40 p.m.