Triple
T36021189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garango |
E1041987
|
entity |
| Predicate | hasInternationalRelationshipWith |
P90485
|
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: [Garango, hasInternationalRelationshipWith, Germany]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInternationalRelationshipWith Context triple: [Garango, hasInternationalRelationshipWith, Germany]
-
A.
hasInternationalRelationshipType
Indicates the specific nature or category of an international relationship that exists between two entities.
-
B.
hasInternationalRelation
chosen
Indicates that one entity maintains some form of official or recognized international relationship or interaction with another entity.
-
C.
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).
-
D.
politicalRelation
Indicates a relationship between entities that involves political alignment, influence, affiliation, conflict, or cooperation within a political context.
-
E.
isLinkedEconomicallyTo
Indicates that two entities are connected through economic relationships such as trade, investment, financial flows, or shared market dependencies.
- 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_69f76e2b981881908e4e160607fa82eb |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a008d6085508190a71c52cd028a6297 |
completed | May 10, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_6a008ced31448190b8fc60bf87b40647 |
completed | May 10, 2026, 1:49 p.m. |
Created at: May 3, 2026, 4:07 p.m.