Triple
T6004946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TARDBP |
E133685
|
entity |
| Predicate | orthologInSpecies |
P51609
|
FINISHED |
| Object | mouse Tardbp |
—
|
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: mouse Tardbp | Statement: [TARDBP, orthologInSpecies, mouse Tardbp]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orthologInSpecies Context triple: [TARDBP, orthologInSpecies, mouse Tardbp]
-
A.
hasOrthologsWith
chosen
Indicates that two genes or proteins in different species are orthologous, meaning they originated from a common ancestral gene and typically retain similar functions.
-
B.
percentageHumanGenesWithOrthologs
Indicates the proportion of human genes that have corresponding orthologous genes in another species or set of species.
-
C.
relatedSpeciesOrVariant
Indicates that one species or biological variant is taxonomically or genetically related to another.
-
D.
usedBySpecies
Indicates that something (such as an object, resource, or method) is utilized or employed by a particular species.
-
E.
hostSpecies
Indicates the species that serves as the host for another organism, agent, or 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_69c00872444c8190bfaf1739dcec765c |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04f10d18081908c351170b7f58d3d |
completed | March 22, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69c049e3316c819087ea635fa7ee8472 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:06 p.m.