Triple
T33268449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | REACH Candidate List of Substances of Very High Concern |
E851712
|
entity |
| Predicate | effectOnDownstreamUsers |
P75607
|
FINISHED |
| Object | need to manage risks from use of listed substances |
—
|
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: need to manage risks from use of listed substances | Statement: [REACH Candidate List of Substances of Very High Concern, effectOnDownstreamUsers, need to manage risks from use of listed substances]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnDownstreamUsers Context triple: [REACH Candidate List of Substances of Very High Concern, effectOnDownstreamUsers, need to manage risks from use of listed substances]
-
A.
effectOnUser
chosen
Indicates how an action, event, or condition influences or impacts a user.
-
B.
effectOnOthers
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
-
C.
effectOnUsage
Indicates how one factor or condition changes the way something is used, including the extent, manner, or frequency of its usage.
-
D.
effectOnOutput
Indicates how one factor, action, or condition influences or changes the resulting output of a process or system.
-
E.
hasUpstreamImpactOn
Indicates that one entity’s actions, changes, or outputs affect another entity that is positioned earlier in a process, flow, or dependency chain.
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
Created at: May 1, 2026, 1:32 a.m.