Triple
T24493956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economy of Tonga |
E617726
|
entity |
| Predicate | importantTradingPartner |
P26129
|
FINISHED |
| Object | New Zealand |
—
|
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: New Zealand | Statement: [Economy of Tonga, importantTradingPartner, New Zealand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importantTradingPartner Context triple: [Economy of Tonga, importantTradingPartner, New Zealand]
-
A.
tradingPartner
Indicates a relationship where two entities engage in the exchange of goods, services, or financial instruments with one another.
-
B.
mainTradingPartnerCountry
chosen
Indicates the country that serves as the primary trading partner for a given entity, based on the largest or most significant volume of trade.
-
C.
mainTradingPartnerRegion
Indicates the geographic region that serves as the primary trading partner for a given entity.
-
D.
internationalPartners
Indicates that two or more entities are engaged in a formal or recognized partnership that crosses national boundaries.
-
E.
businessPartner
Indicates a formal collaborative relationship between two entities that work together in a business context, typically sharing responsibilities, risks, or benefits.
- 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.