Triple
T29108197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KEGG pathways |
E736820
|
entity |
| Predicate | supportsAnalysisOf |
P203995
|
FINISHED |
| Object | multiple model organisms |
—
|
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: multiple model organisms | Statement: [KEGG pathways, supportsAnalysisOf, multiple model organisms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsAnalysisOf Context triple: [KEGG pathways, supportsAnalysisOf, multiple model organisms]
-
A.
supportsEvaluation
Indicates that one entity provides the necessary functionality, resources, or conditions for another entity to be assessed, tested, or evaluated.
-
B.
supportsValidationOf
Indicates that one entity provides the mechanisms or conditions necessary for another entity to be checked or verified for correctness or compliance.
-
C.
supportsDecisionOf
Indicates that one entity endorses, backs, or agrees with the decision made by another entity.
-
D.
supportsConclusionOf
Indicates that one entity provides justification, evidence, or reasoning that backs up or helps establish the conclusion represented by another entity.
-
E.
supportsTheory
Indicates that one entity provides evidence, justification, or endorsement for the validity or acceptance of another entity’s theory.
- 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_69f077ec765c81909474c88bcc8bab43 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a0308a4591081909018e2ba5d70096e |
completed | May 12, 2026, 11:01 a.m. |
| PD | Predicate disambiguation | batch_6a03079299708190a2ecaf14d3f06f48 |
completed | May 12, 2026, 10:57 a.m. |
| PDg | Predicate description generation | batch_6a0308a3b03c8190b7fc9553afe06cb5 |
completed | May 12, 2026, 11:01 a.m. |
Created at: April 28, 2026, 11:16 a.m.