Triple
T34059041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chemical Review Committee |
E873439
|
entity |
| Predicate | reviewOutcome |
P178184
|
FINISHED |
| Object | recommend listing chemical in Annex III |
—
|
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: recommend listing chemical in Annex III | Statement: [Chemical Review Committee, reviewOutcome, recommend listing chemical in Annex III]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reviewOutcome Context triple: [Chemical Review Committee, reviewOutcome, recommend listing chemical in Annex III]
-
A.
reviewType
Indicates the specific category or kind of review associated with an item, action, or relationship.
-
B.
reviewModel
Indicates that an entity evaluates, critiques, or assesses another entity according to a particular standard or criteria.
-
C.
reviewAggregate
Indicates a summarized evaluation relationship where multiple individual reviews are combined into an overall rating or assessment for an entity.
-
D.
reviewFunction
Indicates that one entity serves the role or function of reviewing, evaluating, or assessing another entity.
-
E.
reviewFormat
Indicates the specific structure, style, or medium in which a review is presented or delivered.
- F. None of above. chosen
Provenance (4 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70c53062c8190b4cb7be22ab00bc7 |
completed | May 3, 2026, 8:50 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
| PDg | Predicate description generation | batch_69f70b94784c8190970d654e066eb50d |
completed | May 3, 2026, 8:47 a.m. |
Created at: May 1, 2026, 1:52 a.m.