Triple
T18619485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | COP15 |
E455110
|
entity |
| Predicate | longTermFinanceGoal |
P14665
|
FINISHED |
| Object | mobilize 100 billion US dollars a year by 2020 |
—
|
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: mobilize 100 billion US dollars a year by 2020 | Statement: [COP15, longTermFinanceGoal, mobilize 100 billion US dollars a year by 2020]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: longTermFinanceGoal Context triple: [COP15, longTermFinanceGoal, mobilize 100 billion US dollars a year by 2020]
-
A.
economicGoal
chosen
Indicates that an entity has a targeted economic outcome or objective it aims to achieve.
-
B.
investorObjective
Indicates that an entity’s goal, preference, or intended outcome in its role as an investor is directed toward another entity or investment.
-
C.
investmentHorizon
Indicates the typical time period over which an investment is expected to be held before its goals are evaluated or the capital is withdrawn.
-
D.
investmentTarget
Indicates that one entity is the object or recipient of another entity’s investment.
-
E.
laterSocietyGoal
Indicates that a society adopts or aims to achieve a particular goal at a later time or stage in its development.
- 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_69e54d07dc288190bb3b8b5ab06518da |
completed | April 19, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.