Triple
T5063979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Germany and Austria |
E114097
|
entity |
| Predicate | shareEconomicTies |
P25108
|
FINISHED |
| Object | strong bilateral trade relations |
—
|
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: strong bilateral trade relations | Statement: [Germany and Austria, shareEconomicTies, strong bilateral trade relations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareEconomicTies Context triple: [Germany and Austria, shareEconomicTies, strong bilateral trade relations]
-
A.
isLinkedEconomicallyTo
Indicates that two entities are connected through economic relationships such as trade, investment, financial flows, or shared market dependencies.
-
B.
connectsCapital
Indicates a relationship where one entity serves as the capital city that is officially linked to or associated with another entity, such as a country or region.
-
C.
economicLink
chosen
Indicates a relationship where entities are connected through economic interactions, dependencies, or exchanges such as trade, investment, or financial flows.
-
D.
sharesMotifsWith
Indicates that two entities contain or employ similar recurring themes, patterns, or symbolic elements.
-
E.
internationalInstitutionRelationship
Indicates a relationship in which one entity is connected to, interacts with, or is associated with an international institution (such as through membership, partnership, oversight, or collaboration).
- 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_69bd443c0c8c81908663b77afb28e165 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd747756bc8190863c426e6fd6e8f7 |
completed | March 20, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69bd715622b48190a3e8e49a5ef62b4a |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:38 p.m.