Triple
T6307158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hypocreales |
E141404
|
entity |
| Predicate | includesOrganismsWithLifestyle |
P28386
|
FINISHED |
| Object | plant pathogen |
—
|
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: plant pathogen | Statement: [Hypocreales, includesOrganismsWithLifestyle, plant pathogen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesOrganismsWithLifestyle Context triple: [Hypocreales, includesOrganismsWithLifestyle, plant pathogen]
-
A.
supportsLifestyle
Indicates that one entity provides the resources, conditions, or assistance necessary for another entity to maintain a particular way of living.
-
B.
includesSpeciesWithDiet
chosen
Indicates that a group, area, or collection contains at least one species characterized by a specified type of diet.
-
C.
biomeIncludes
Indicates that a biome contains or encompasses a particular entity, such as a species, habitat, or environmental feature, as part of its composition.
-
D.
targetOrganism
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
-
E.
includesSpecies
Indicates that one entity contains or encompasses one or more species as part of its composition or scope.
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647b69f08190bb085f9b700f6453 |
completed | March 22, 2026, 9:51 p.m. |
| PD | Predicate disambiguation | batch_69c060e311b48190b1c74a5cf9435623 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:28 p.m.