Triple
T12037006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CITES Appendix I |
E286564
|
entity |
| Predicate | relationshipToConventionText |
P21040
|
FINISHED |
| Object | defined in Articles II and III of CITES |
—
|
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: defined in Articles II and III of CITES | Statement: [CITES Appendix I, relationshipToConventionText, defined in Articles II and III of CITES]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToConventionText Context triple: [CITES Appendix I, relationshipToConventionText, defined in Articles II and III of CITES]
-
A.
relationshipToConventions
chosen
Indicates how something is associated or connected to a set of conventions, such as rules, standards, or agreed practices.
-
B.
relationshipToEvent
Indicates the specific way an entity is connected or related to a particular event.
-
C.
associatedConvention
Indicates a relationship where something is linked or connected to a particular convention (such as an event, standard, or formal gathering).
-
D.
relationshipType
Indicates the specific kind of relationship that exists between two or more entities.
-
E.
relationshipToState
Indicates a relationship or connection that an entity has with a particular state or governmental body.
- 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_69d6ab4669e48190b59246358b0383ab |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9100b4ca8819084845ca4c13e34ce |
completed | April 10, 2026, 2:58 p.m. |
| PD | Predicate disambiguation | batch_69d902bac9e08190aa1a99c835f29542 |
completed | April 10, 2026, 2:01 p.m. |
Created at: April 8, 2026, 9:47 p.m.