Triple
T23626997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lizards: Windows to the Evolution of Diversity |
E583493
|
entity |
| Predicate | usesAsModelOrganism |
P32525
|
FINISHED |
| Object | lizards |
—
|
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: lizards | Statement: [Lizards: Windows to the Evolution of Diversity, usesAsModelOrganism, lizards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesAsModelOrganism Context triple: [Lizards: Windows to the Evolution of Diversity, usesAsModelOrganism, lizards]
-
A.
isModelOrganism
chosen
Indicates that one organism is used as a representative experimental system for studying biological processes relevant to other organisms.
-
B.
containsModelOrganisms
Indicates that one entity includes or incorporates model organisms as part of its contents or composition.
-
C.
notableModelOrganism
Indicates that an organism is widely recognized and frequently used as a standard or reference model for scientific research or experimentation.
-
D.
studiedOrganism
Indicates that an entity conducted study or research on a particular organism.
-
E.
hasOrganism
Indicates that one entity is an organism associated with, contained in, or otherwise possessed by another entity.
- 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_69e248fc8d74819091bd5baef2f36f6f |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b17d4f508190abbb508746bfebb9 |
completed | April 29, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:46 p.m.