Triple
T16222468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Γοργονία |
E393761
|
entity |
| Predicate | photosymbiosis |
P13438
|
FINISHED |
| Object | may host symbiotic algae (zooxanthellae) |
—
|
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: may host symbiotic algae (zooxanthellae) | Statement: [Γοργονία, photosymbiosis, may host symbiotic algae (zooxanthellae)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: photosymbiosis Context triple: [Γοργονία, photosymbiosis, may host symbiotic algae (zooxanthellae)]
-
A.
photosyntheticOrgan
Indicates that an entity is an organ specialized for performing photosynthesis in an organism.
-
B.
symbiontType
chosen
Indicates the specific kind or category of symbiotic relationship that exists between associated organisms.
-
C.
photosynthesisType
Indicates the specific kind or category of photosynthesis an organism performs (e.g., C3, C4, CAM).
-
D.
photosyntheticOrganism
Indicates that an organism performs photosynthesis, converting light energy into chemical energy to sustain itself.
-
E.
containsSymbioticAssociationsWith
Indicates that one entity includes or encompasses another entity with which it maintains a symbiotic (mutually dependent or beneficial) biological relationship.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227fcf058819099d5ff965cc2c267 |
completed | April 17, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:03 a.m.