Triple
T16212094
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lophophorata |
E393488
|
entity |
| Predicate | hasSoftTissue |
P14750
|
FINISHED |
| Object | lophophore-bearing body wall |
—
|
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: lophophore-bearing body wall | Statement: [Lophophorata, hasSoftTissue, lophophore-bearing body wall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSoftTissue Context triple: [Lophophorata, hasSoftTissue, lophophore-bearing body wall]
-
A.
hasTissue
chosen
Indicates that one entity possesses, contains, or is associated with a specific tissue of another entity.
-
B.
hasDeformation
Indicates that one entity exhibits or is characterized by a physical or structural deformation associated with another entity or condition.
-
C.
isSoft
Indicates that one entity has a soft or yielding texture or consistency when touched or pressed.
-
D.
hasInjuries
Indicates that an entity has sustained one or more physical or bodily injuries.
-
E.
hasLimb
Indicates that an entity possesses a specific limb as 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f1bef8819094e724f5cd0b86d5 |
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.