Triple
T13697875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Switzerland and Liechtenstein |
E328433
|
entity |
| Predicate | shareTaxCooperation |
P106724
|
FINISHED |
| Object | bilateral tax agreements |
—
|
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: bilateral tax agreements | Statement: [Switzerland and Liechtenstein, shareTaxCooperation, bilateral tax agreements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareTaxCooperation Context triple: [Switzerland and Liechtenstein, shareTaxCooperation, bilateral tax agreements]
-
A.
sharesBilateralCooperationArea
chosen
Indicates that two entities engage in cooperative activities or initiatives within a specific, mutually agreed bilateral domain or sector.
-
B.
hasSpecialTaxArrangements
Indicates that an entity is subject to or benefits from non-standard or preferential tax treatment compared to the usual tax rules.
-
C.
sharesTaxaWith
Indicates that two entities have one or more taxonomic groups (taxa) in common.
-
D.
cooperationAmong
Indicates a relationship in which multiple entities work together collaboratively toward shared goals or mutual benefit.
-
E.
taxCollectorFor
Indicates that one entity is responsible for collecting taxes on behalf of another entity, such as a government, organization, or jurisdiction.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc878b57c819094e7ea6d1a64211f |
completed | April 12, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69dbbe9059488190a8113177c83e1481 |
completed | April 12, 2026, 3:47 p.m. |
Created at: April 9, 2026, 9:54 p.m.