Triple
T38580426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Podopterus |
E932228
|
entity |
| Predicate | hasPhotosyntheticOrganisms |
P12081
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Podopterus, hasPhotosyntheticOrganisms, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhotosyntheticOrganisms Context triple: [Podopterus, hasPhotosyntheticOrganisms, yes]
-
A.
photosyntheticOrganism
Indicates that an organism performs photosynthesis, converting light energy into chemical energy to sustain itself.
-
B.
photosyntheticOrgan
chosen
Indicates that an entity is an organ specialized for performing photosynthesis in an organism.
-
C.
photosyntheticCapability
Indicates the ability of one entity to perform photosynthesis, converting light energy into chemical energy.
-
D.
hasChlorophyll
Indicates that one entity possesses or contains chlorophyll, typically as a component or characteristic of its biological makeup.
-
E.
hasAquaticPlantSpecies
Indicates that an entity contains, supports, or is associated with one or more species of aquatic plants.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd2839880c819099a7a89783f2270e |
completed | May 8, 2026, 12:03 a.m. |
| PD | Predicate disambiguation | batch_69fd23dc5da48190ae8ba08947d34956 |
completed | May 7, 2026, 11:44 p.m. |
Created at: May 3, 2026, 4:32 p.m.