Triple
T16725082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mexico–Japan Economic Partnership Agreement |
E406444
|
entity |
| Predicate | typeOfTradeAgreement |
P20718
|
FINISHED |
| Object | free trade agreement |
—
|
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: free trade agreement | Statement: [Mexico–Japan Economic Partnership Agreement, typeOfTradeAgreement, free trade agreement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTradeAgreement Context triple: [Mexico–Japan Economic Partnership Agreement, typeOfTradeAgreement, free trade agreement]
-
A.
typeOfContract
Indicates the specific kind or category of contractual agreement that applies between the related entities.
-
B.
typeOfTrading
Indicates a relationship where one entity specifies the kind or category of trading activity associated with another entity.
-
C.
treatyType
chosen
Indicates the specific category or classification of a treaty that characterizes the nature of the agreement between parties.
-
D.
hasTypeOfAgreement
Indicates that one entity is associated with, or governed by, a specific category or type of agreement.
-
E.
tradeAgreementSigned
Indicates that a formal trade agreement has been officially concluded and signed between the involved parties.
- 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_69d8838f242881908abd8bc138795886 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e38746c8fc81908b9fade26f37be11 |
completed | April 18, 2026, 1:29 p.m. |
| PD | Predicate disambiguation | batch_69e319c379f88190ac0adf812486f598 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:20 a.m.