Triple
T972841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alzheimer's disease |
E20980
|
entity |
| Predicate | averageSurvivalAfterDiagnosis |
P22711
|
FINISHED |
| Object | 4 to 8 years |
—
|
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: 4 to 8 years | Statement: [Alzheimer's disease, averageSurvivalAfterDiagnosis, 4 to 8 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageSurvivalAfterDiagnosis Context triple: [Alzheimer's disease, averageSurvivalAfterDiagnosis, 4 to 8 years]
-
A.
survivorTerm
Indicates that one entity is designated as the surviving or remaining party in relation to another entity, often after a loss, termination, or adverse event.
-
B.
mortalityRate
Indicates the proportion of individuals in a defined population that die within a specified time period.
-
C.
survivedEvent
Indicates that an entity continued to live or exist after experiencing and not being destroyed or killed by a particular event.
-
D.
hasSurvivorTerm
Indicates that an entity is associated with a term or label specifically used to describe survivors of an event, condition, or circumstance.
-
E.
childrenSurvivedToAdulthood
Indicates that the referenced children lived beyond childhood and reached adulthood.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b44c38f08190997e141d424e9e04 |
completed | March 1, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69a4b2a6aa2c8190aebba71320ab678f |
completed | March 1, 2026, 9:41 p.m. |
| PDg | Predicate description generation | batch_69a4b38630848190bd3898a4f42018ad |
completed | March 1, 2026, 9:45 p.m. |
Created at: March 1, 2026, 7:40 p.m.