Triple
T10508159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kigali Amendment |
E247837
|
entity |
| Predicate | doesNotTarget |
P56528
|
FINISHED |
| Object | ozone-depleting substances |
—
|
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: ozone-depleting substances | Statement: [Kigali Amendment, doesNotTarget, ozone-depleting substances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotTarget Context triple: [Kigali Amendment, doesNotTarget, ozone-depleting substances]
-
A.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
B.
doesNotAimFor
chosen
Indicates that one entity does not direct effort, intention, or purpose toward achieving, obtaining, or targeting another entity or outcome.
-
C.
doesNotUse
Indicates that one entity intentionally refrains from employing, utilizing, or relying on another entity, method, or resource.
-
D.
doesNotTry
Indicates that an entity makes no attempt to perform a particular action or engage in a specified activity.
-
E.
doesNotSpecify
Indicates that the subject intentionally leaves some information, detail, or attribute undefined or unspecified with respect to the object.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d509b287ac8190805a2375bd16b7ae |
completed | April 7, 2026, 1:42 p.m. |
| PD | Predicate disambiguation | batch_69d4fb919ea08190bcc1193e2014d437 |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:26 p.m.