Triple
T10479588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Treaty on the Dirty Dozen |
E247135
|
entity |
| Predicate | initiallyTargeted |
P60640
|
FINISHED |
| Object | 12 persistent organic pollutants |
—
|
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: 12 persistent organic pollutants | Statement: [Treaty on the Dirty Dozen, initiallyTargeted, 12 persistent organic pollutants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: initiallyTargeted Context triple: [Treaty on the Dirty Dozen, initiallyTargeted, 12 persistent organic pollutants]
-
A.
targetedBecauseOf
Indicates that one entity is made a target of an action, harm, or scrutiny specifically due to possessing a particular attribute, identity, or characteristic.
-
B.
intendedTargets
Indicates that an action, message, or object is specifically directed toward or meant to affect particular target entities.
-
C.
firstOperationalTarget
chosen
Indicates that an entity is designated as the initial or primary target to be acted upon or engaged in an operation.
-
D.
primaryTarget
Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
-
E.
initialGoal
Indicates that something represents the first or starting objective or target in a sequence of goals.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5095b2ec881909e1220d83e750a75 |
completed | April 7, 2026, 1:40 p.m. |
| PD | Predicate disambiguation | batch_69d4fb84bafc8190819757b93620508a |
completed | April 7, 2026, 12:41 p.m. |
Created at: April 6, 2026, 12:22 p.m.