Triple
T27465577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comprehensive Economic and Trade Agreement |
E693167
|
entity |
| Predicate | counterpartyRegion |
P158707
|
FINISHED |
| Object | Europe |
—
|
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: Europe | Statement: [Comprehensive Economic and Trade Agreement, counterpartyRegion, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: counterpartyRegion Context triple: [Comprehensive Economic and Trade Agreement, counterpartyRegion, Europe]
-
A.
counterpartyCountry
Indicates the country associated with the other party involved in a transaction, agreement, or relationship.
-
B.
mainTradingPartnerRegion
Indicates the geographic region that serves as the primary trading partner for a given entity.
-
C.
settlementCountryRegion
Indicates the country or broader geographic region in which a settlement is located or administered.
-
D.
oppositeSettlementCountry
Indicates that two settlements are located in different countries that are considered opposites in a given geopolitical or contextual framework.
-
E.
tradePartnerRegion
chosen
Indicates that one entity engages in trade with partners located in a specified geographic region.
- 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_69ef538105548190a771cc5a0cf8c211 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: April 27, 2026, 12:52 p.m.