Triple
T23205816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chaetomiaceae |
E580449
|
entity |
| Predicate | potentialImpactOnHumans |
P47376
|
FINISHED |
| Object | some species are opportunistic pathogens |
—
|
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: some species are opportunistic pathogens | Statement: [Chaetomiaceae, potentialImpactOnHumans, some species are opportunistic pathogens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: potentialImpactOnHumans Context triple: [Chaetomiaceae, potentialImpactOnHumans, some species are opportunistic pathogens]
-
A.
impactOnHumans
Indicates a relationship where something produces an effect, influence, or consequence on humans.
-
B.
humanImpact
Indicates the effect or influence that human activities have on another entity, system, or environment.
-
C.
humanImpactLevel
Indicates the degree or extent to which human activities affect or influence a given entity, system, or environment.
-
D.
hasEnvironmentalImpactOn
Indicates that one entity affects or alters the environmental conditions, quality, or ecological state of another entity.
-
E.
threatToHumans
chosen
Indicates that the subject poses or represents a potential danger, harm, or risk to humans.
- 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_69e24602ae1481908aaa6bc7ca493867 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1907cd62c8190afee1e963b170727 |
completed | April 29, 2026, 5 a.m. |
| PD | Predicate disambiguation | batch_69effcccee508190a7ae311fdd319806 |
completed | April 28, 2026, 12:18 a.m. |
Created at: April 17, 2026, 4:07 p.m.