Triple
T4688203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Non-Annex I Parties |
E103970
|
entity |
| Predicate | primaryFocusOfObligations |
P38163
|
FINISHED |
| Object | adaptation actions |
—
|
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: adaptation actions | Statement: [Non-Annex I Parties, primaryFocusOfObligations, adaptation actions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryFocusOfObligations Context triple: [Non-Annex I Parties, primaryFocusOfObligations, adaptation actions]
-
A.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
B.
primaryDedication
Indicates the main person, concept, or entity to which something (such as a work, structure, or event) is formally dedicated above all others.
-
C.
primaryTopicOf
Indicates that a given subject is the main or central topic described by another resource (such as a document, page, or record).
-
D.
primaryTask
Indicates that an entity has a main or most important task, role, or function it is responsible for above all others.
-
E.
primaryMissionTo
chosen
Indicates that an entity has a main or principal mission directed toward or focused on another entity.
- 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_69bd43debbf08190b4bc372e286ec234 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd66059bfc8190885d26d05dd38df1 |
completed | March 20, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69bd6219da948190bbbb50f08573ab4d |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:16 p.m.