Triple
T38559544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mycobacteriales |
E928039
|
entity |
| Predicate | containsOrganismsWithRole |
P203102
|
FINISHED |
| Object | human 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: human pathogens | Statement: [Mycobacteriales, containsOrganismsWithRole, human pathogens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsOrganismsWithRole Context triple: [Mycobacteriales, containsOrganismsWithRole, human pathogens]
-
A.
containsOrganismsWith
chosen
Indicates that one entity includes or holds within it one or more organisms associated with another entity.
-
B.
includesOrganisms
Indicates that one entity contains, encompasses, or has as members one or more specified organisms.
-
C.
hasSpeciesRole
Indicates that an entity plays a specific functional or categorical role within a particular species.
-
D.
hasOrganism
Indicates that one entity is an organism associated with, contained in, or otherwise possessed by another entity.
-
E.
containsSymbioticAssociationsWith
Indicates that one entity includes or encompasses another entity with which it maintains a symbiotic (mutually dependent or beneficial) biological relationship.
- 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_69f76eb8d1808190a588af29d8b266d6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a0224f4b6cc8190a8f79700a9af765f |
completed | May 11, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_6a0223f01eb081909419518fdd45f2a4 |
completed | May 11, 2026, 6:46 p.m. |
Created at: May 3, 2026, 4:32 p.m.