Triple
T10205154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Convention de Washington |
E242173
|
entity |
| Predicate | objectif |
P64674
|
FINISHED |
| Object | réglementer le commerce international des espèces sauvages menacées |
—
|
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: réglementer le commerce international des espèces sauvages menacées | Statement: [Convention de Washington, objectif, réglementer le commerce international des espèces sauvages menacées]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: objectif Context triple: [Convention de Washington, objectif, réglementer le commerce international des espèces sauvages menacées]
-
A.
usesObjective
Indicates that an agent employs or applies a particular object, tool, or resource to carry out an action or achieve a goal.
-
B.
aimOf
chosen
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
C.
gameObjective
Indicates the primary goal or intended outcome that participants aim to achieve within a game.
-
D.
actorObjective
Indicates that an actor has a specific goal, purpose, or intended outcome in relation to another entity or situation.
-
E.
goals
Indicates that an entity has objectives, targets, or desired outcomes it aims to achieve.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa22071c819095febd18dd607978 |
completed | April 6, 2026, 12:42 p.m. |
| PD | Predicate disambiguation | batch_69d39559e5ac8190b88eca75956b7e6a |
completed | April 6, 2026, 11:13 a.m. |
Created at: April 6, 2026, 10:42 a.m.