Triple
T6004819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | C9orf72 |
E133683
|
entity |
| Predicate | mostCommonGeneticCauseOf |
P694
|
FINISHED |
| Object | familial ALS |
—
|
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: familial ALS | Statement: [C9orf72, mostCommonGeneticCauseOf, familial ALS]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mostCommonGeneticCauseOf Context triple: [C9orf72, mostCommonGeneticCauseOf, familial ALS]
-
A.
primaryCauseCategory
Indicates the main type or classification of cause responsible for an outcome or event.
-
B.
geneticInfluence
Indicates that one entity affects or contributes to the genetic traits, characteristics, or heredity of another entity.
-
C.
causeOf
chosen
Indicates that one entity brings about, produces, or is responsible for the occurrence or existence of another entity or event.
-
D.
causeOfIllness
Indicates that one entity is the reason or source responsible for another entity’s illness or disease.
-
E.
geneticStatus
Indicates the genetic condition or variant state an entity has in relation to a specific gene or set of genes.
- 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.