Triple
T1151116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ascomycota |
E23678
|
entity |
| Predicate | formsSymbiosisWith |
P18579
|
FINISHED |
| Object | algae in lichens |
—
|
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: algae in lichens | Statement: [Ascomycota, formsSymbiosisWith, algae in lichens]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsSymbiosisWith Context triple: [Ascomycota, formsSymbiosisWith, algae in lichens]
-
A.
containsSymbioticAssociationsWith
chosen
Indicates that one entity includes or encompasses another entity with which it maintains a symbiotic (mutually dependent or beneficial) biological relationship.
-
B.
symbiontType
Indicates the specific kind or category of symbiotic relationship that exists between associated organisms.
-
C.
notableMutualism
Indicates a significant mutually beneficial relationship between two entities, where each provides important advantages or services to the other.
-
D.
formsSwarms
Indicates that multiple entities come together to create or participate in a coordinated swarm.
-
E.
partOfEcosystem
Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bd0bed00819091d71983d787a030 |
completed | March 1, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69a4bb4ee3988190ac89c5ae5b10e316 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.