Triple
T6004839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C9orf72 |
E133683
|
entity |
| Predicate | EnsemblGeneID |
P68677
|
FINISHED |
| Object | ENSG00000147894 |
—
|
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: ENSG00000147894 | Statement: [C9orf72, EnsemblGeneID, ENSG00000147894]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: EnsemblGeneID Context triple: [C9orf72, EnsemblGeneID, ENSG00000147894]
-
A.
targetsGene
Indicates that one entity is directed toward, acts upon, or is intended to affect a specific gene.
-
B.
genomeSource
Indicates the origin or provenance of a genome, specifying where or how the genomic data was obtained.
-
C.
EUAccession
Indicates that an entity becomes a member state of the European Union through the formal accession process.
-
D.
hasOrthologsWith
Indicates that two genes or proteins in different species are orthologous, meaning they originated from a common ancestral gene and typically retain similar functions.
-
E.
EUaccessionYear
Indicates the year in which an entity formally joined the European Union as a member state.
- 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_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. |
| PDg | Predicate description generation | batch_69c04e8c5bfc8190b986a7071d1b23e3 |
completed | March 22, 2026, 8:18 p.m. |
Created at: March 22, 2026, 4:06 p.m.