Triple
T667209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kennedy Round (1964–1967) |
E12890
|
entity |
| Predicate | agreementType |
P405
|
FINISHED |
| Object | multilateral 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: multilateral trade agreement | Statement: [Kennedy Round (1964–1967), agreementType, multilateral trade agreement]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agreementType Context triple: [Kennedy Round (1964–1967), agreementType, multilateral trade agreement]
-
A.
typeOfContract
chosen
Indicates the specific kind or category of contractual agreement that applies between the related entities.
-
B.
agreement
Indicates that two or more parties mutually consent to and accept shared terms, conditions, or understandings.
-
C.
obligationType
Indicates the specific kind or category of duty, requirement, or commitment that applies within an obligation relationship.
-
D.
basedOnAgreementWith
Indicates that something exists, is done, or is determined on the basis of a prior agreement or accord between the involved parties.
-
E.
lenderType
Indicates the classification or category of the lender involved in a lending relationship (e.g., bank, individual, institution).
- 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_69a493355dec819098d4244b2fa34885 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49ff7ca788190bef58ce46849b9d0 |
completed | March 1, 2026, 8:22 p.m. |
| PD | Predicate disambiguation | batch_69a49d18942c819083b3d1887e505900 |
completed | March 1, 2026, 8:10 p.m. |
Created at: March 1, 2026, 7:36 p.m.