Triple
T8495682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Multilateral System of Access and Benefit-sharing |
E201092
|
entity |
| Predicate | nonMonetaryBenefitsInclude |
P64376
|
FINISHED |
| Object | information exchange |
—
|
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: information exchange | Statement: [Multilateral System of Access and Benefit-sharing, nonMonetaryBenefitsInclude, information exchange]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nonMonetaryBenefitsInclude Context triple: [Multilateral System of Access and Benefit-sharing, nonMonetaryBenefitsInclude, information exchange]
-
A.
benefitsNot
Indicates that one entity does not provide an advantage, help, or positive effect to another entity.
-
B.
nonMonetary
chosen
Indicates that the relationship or transaction occurs without the exchange or involvement of money or financial compensation.
-
C.
benefitsAre
Indicates that certain advantages, gains, or positive outcomes are possessed by or accrue to a particular entity or group.
-
D.
benefits
Indicates that one entity gains an advantage, improvement, or positive outcome as a result of another entity or action.
-
E.
exclusiveBenefit
Indicates that a benefit is provided to one party or group in a way that excludes others from receiving the same advantage.
- 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_69ca831ee390819095fae73400bbfafc |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe57dbe488190af5f06faf862cd5d |
completed | March 31, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69cbd10a4b0881909e254117780dc823 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:13 p.m.