Triple
T9128622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dickinsonia |
E219025
|
entity |
| Predicate | internalOrgans |
P65107
|
FINISHED |
| Object | no clear evidence in fossils |
—
|
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: no clear evidence in fossils | Statement: [Dickinsonia, internalOrgans, no clear evidence in fossils]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internalOrgans Context triple: [Dickinsonia, internalOrgans, no clear evidence in fossils]
-
A.
mainOrganOf
Indicates that one entity is the primary or central organ responsible for the core functions of another entity (such as an organism or system).
-
B.
numberOfOrgans
Indicates the total count of organs associated with a given entity.
-
C.
hasOrganSystem
Indicates that an entity possesses or is associated with a particular organ system as part of its biological structure or function.
-
D.
organLocation
Indicates the anatomical location or position of an organ within a body or organism.
-
E.
имеетОрган
chosen
Indicates that one entity possesses or contains a specific organ as a part of its body.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8cc85b081908ee80db0e3b7df15 |
completed | April 1, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69cc6601d77881908299d58db6e64937 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:18 p.m.