Triple
T30598676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ecuador–European Union relations |
E778850
|
entity |
| Predicate | EUPartnerCountry |
P130048
|
FINISHED |
| Object | Ecuador |
—
|
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: Ecuador | Statement: [Ecuador–European Union relations, EUPartnerCountry, Ecuador]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EUPartnerCountry Context triple: [Ecuador–European Union relations, EUPartnerCountry, Ecuador]
-
A.
countryPartner
Indicates a formal partnership relationship between two countries, such as cooperation, alliance, or strategic collaboration.
-
B.
monetaryUnionPartner
Indicates that two entities are members of the same monetary union, sharing a common currency or coordinated monetary policy.
-
C.
tradePartnerRegion
Indicates that one entity engages in trade with partners located in a specified geographic region.
-
D.
relationshipWithEU
chosen
Indicates the nature or status of an entity’s formal or informal relationship with the European Union.
-
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_69f224a1570c8190a85d3ac330479a79 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f689b01d7c819083ccc732d66d4d33 |
completed | May 2, 2026, 11:33 p.m. |
| PD | Predicate disambiguation | batch_69f67e448a9c8190b591374d98799fe3 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 29, 2026, 8:25 p.m.