Triple
T21540561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colletotrichum |
E531471
|
entity |
| Predicate | infectionPhase |
P144159
|
FINISHED |
| Object | biotrophic phase |
—
|
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: biotrophic phase | Statement: [Colletotrichum, infectionPhase, biotrophic phase]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: infectionPhase Context triple: [Colletotrichum, infectionPhase, biotrophic phase]
-
A.
infectionType
Indicates the specific category or nature of an infection associated with an entity or event.
-
B.
infectsLifeStage
Indicates that one entity causes infection specifically in a particular developmental or life stage of another organism.
-
C.
infectionResult
Indicates that one entity causes or leads to a particular outcome, condition, or state as a result of an infection affecting another entity.
-
D.
infectionMethod
Indicates the way or mechanism by which an infection is transmitted or established from a source to a host.
-
E.
infectsTissue
Indicates that one entity (typically a pathogen or agent) invades and establishes itself within the tissue of another entity.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee9d119e0c8190a207c0e8ae328a95 |
completed | April 26, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69e6320766308190ba5dca2f7c826aa4 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e633bf34c481909925d8dc1a633a65 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 16, 2026, 6:28 p.m.