Triple
T16211755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spiralia |
E393481
|
entity |
| Predicate | includesOrganisms |
P122182
|
FINISHED |
| Object | coelomate animals |
—
|
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: coelomate animals | Statement: [Spiralia, includesOrganisms, coelomate animals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesOrganisms Context triple: [Spiralia, includesOrganisms, coelomate animals]
-
A.
hasOrganism
Indicates that one entity is an organism associated with, contained in, or otherwise possessed by another entity.
-
B.
containsModelOrganisms
Indicates that one entity includes or incorporates model organisms as part of its contents or composition.
-
C.
includesSpecies
Indicates that one entity contains or encompasses one or more species as part of its composition or scope.
-
D.
targetOrganism
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
-
E.
detectsOrganism
Indicates that one entity identifies, discovers, or observes the presence of another organism.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f1bef8819094e724f5cd0b86d5 |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.