Triple
T21571332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neodermata |
E532289
|
entity |
| Predicate | tegumentType |
P144298
|
FINISHED |
| Object | neodermis replacing larval epidermis |
—
|
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: neodermis replacing larval epidermis | Statement: [Neodermata, tegumentType, neodermis replacing larval epidermis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tegumentType Context triple: [Neodermata, tegumentType, neodermis replacing larval epidermis]
-
A.
gutType
Indicates the type or classification of a digestive tract or gut associated with an entity.
-
B.
typeOfOrganCovered
Indicates the specific organ or body part that is protected or covered by something (such as a device, garment, or material).
-
C.
sealType
Indicates the specific kind or category of seal associated with an entity or connection.
-
D.
seeType
Indicates that one entity observes, recognizes, or visually perceives another entity of a particular type or category.
-
E.
oreType
Indicates the specific kind or classification of ore associated with an entity.
- F. None of above. chosen
Provenance (4 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cd50188190b44eb25fb87312bb |
completed | April 27, 2026, 4:45 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e633bf34c481909925d8dc1a633a65 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 16, 2026, 6:30 p.m.