Triple
T21466524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Theodor Bilharz |
E529605
|
entity |
| Predicate | associatedOrganism |
P51389
|
FINISHED |
| Object | Schistosoma haematobium |
—
|
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: Schistosoma haematobium | Statement: [Theodor Bilharz, associatedOrganism, Schistosoma haematobium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedOrganism Context triple: [Theodor Bilharz, associatedOrganism, Schistosoma haematobium]
-
A.
hasOrganism
Indicates that one entity is an organism associated with, contained in, or otherwise possessed by another entity.
-
B.
targetOrganism
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
-
C.
organismType
Indicates the biological classification or kind of organism that an entity is.
-
D.
studiedOrganism
chosen
Indicates that an entity conducted study or research on a particular organism.
-
E.
includesOrganisms
Indicates that one entity contains, encompasses, or has as members one or more specified organisms.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9f32b5c8190bfa5acb3c9b1ab3b |
completed | April 23, 2026, 9:44 a.m. |
| PD | Predicate disambiguation | batch_69e631ec1d048190b6da97da8222e413 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:11 p.m.