Triple
T3928067
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | BP |
E93325
|
entity |
| Predicate | committedTo |
P17418
|
FINISHED |
| Object | net zero emissions target by 2050 or sooner |
—
|
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: net zero emissions target by 2050 or sooner | Statement: [BP, committedTo, net zero emissions target by 2050 or sooner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: committedTo Context triple: [BP, committedTo, net zero emissions target by 2050 or sooner]
-
A.
committed
Indicates that an agent has carried out or been responsible for a specific act, event, or wrongdoing.
-
B.
commitment
chosen
Indicates a sustained obligation or promise that binds an entity to a course of action, relationship, or goal over time.
-
C.
confirmedFor
Indicates that an entity has been officially approved, scheduled, or validated to participate in, receive, or be associated with another specified entity or event.
-
D.
commissioned
Indicates that one entity formally authorized or ordered another entity to create, produce, or carry out something, often in exchange for payment or obligation.
-
E.
commutedBy
Indicates that a person or entity regularly travels to and from a place using a specified mode or means of transportation.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda4f9d481908dda1b5a826ab64d |
completed | March 9, 2026, 3:56 p.m. |
| PD | Predicate disambiguation | batch_69aee7609c4081908000ce12ae827c3f |
completed | March 9, 2026, 3:29 p.m. |
Created at: March 9, 2026, 3:23 p.m.