Triple
T18619537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COP15 Accord |
E455111
|
entity |
| Predicate | longTermFinancePledgeAmountPerYear |
P73589
|
FINISHED |
| Object | 100 billion US dollars |
—
|
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: 100 billion US dollars | Statement: [COP15 Accord, longTermFinancePledgeAmountPerYear, 100 billion US dollars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longTermFinancePledgeAmountPerYear Context triple: [COP15 Accord, longTermFinancePledgeAmountPerYear, 100 billion US dollars]
-
A.
pensionAmount
Indicates the specific monetary value of a pension that is assigned to or received by an entity.
-
B.
endowmentAmount
Indicates the specific monetary value or quantity provided as an endowment in the relationship.
-
C.
owedMoneyTo
Indicates that one entity has a financial obligation or debt that must be paid to another entity.
-
D.
philanthropicPledge
chosen
Indicates a commitment by an entity to donate resources, typically money or assets, for charitable or public-benefit purposes.
-
E.
expectedAnnualGeneration
Indicates the amount of output (typically energy or production) that a system or asset is expected to generate over the course of a year.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f00889c8190931f8d3fbabd531b |
completed | April 19, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.