Triple
T32195854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chronic lymphocytic leukemia |
E822402
|
entity |
| Predicate | typicalOnsetAge |
P78532
|
FINISHED |
| Object | >=60 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: >=60 years | Statement: [chronic lymphocytic leukemia, typicalOnsetAge, >=60 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalOnsetAge Context triple: [chronic lymphocytic leukemia, typicalOnsetAge, >=60 years]
-
A.
hasAgeOfOnset
Indicates the point in time or age at which a condition, event, or state first begins or appears for an entity.
-
B.
typicalAge
chosen
Indicates the usual or characteristic age associated with an entity, event, or condition.
-
C.
typicalOnsetLocation
Indicates the anatomical location where a condition, symptom, or process most commonly begins or first appears.
-
D.
typicalAgePrimaryInfection
Indicates the usual age range at which a primary (first-time) infection with a given agent typically occurs.
-
E.
ageAtOutbreak
Indicates the age of an individual at the time a particular outbreak begins.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a037c894b488190bcbec2eccaff4a01 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379eaa540819095a1c5d9f3513f9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 12:35 a.m.