Triple
T22219808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lepidosauria |
E549178
|
entity |
| Predicate | skinSheddingMode |
P19651
|
FINISHED |
| Object | ecdysis |
—
|
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: ecdysis | Statement: [Lepidosauria, skinSheddingMode, ecdysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skinSheddingMode Context triple: [Lepidosauria, skinSheddingMode, ecdysis]
-
A.
skinCharacteristic
Indicates a relationship where an entity is associated with a particular quality, feature, or condition of its skin.
-
B.
molting
chosen
Indicates the process by which an organism sheds and replaces an outer body covering, such as skin, feathers, or exoskeleton.
-
C.
skinSecretionFunction
Indicates the function or role served by a substance secreted through the skin in the context of an organism’s biology or behavior.
-
D.
cuticleType
Indicates the type or characteristics of the cuticle associated with an entity.
-
E.
skinThickness
Indicates the measured thickness of an entity’s skin, typically quantifying how thick its outer tissue layer is.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b8fa3d081908db0a0556b009d8f |
completed | April 28, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69e71b4dcc408190a30429fb08fcf39e |
completed | April 21, 2026, 6:38 a.m. |
Created at: April 16, 2026, 8:37 p.m.