Triple
T32195899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chronic lymphocytic leukemia |
E822402
|
entity |
| Predicate | epidemiologyRegion |
P55272
|
FINISHED |
| Object | most common leukemia in Western countries |
—
|
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: most common leukemia in Western countries | Statement: [chronic lymphocytic leukemia, epidemiologyRegion, most common leukemia in Western countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: epidemiologyRegion Context triple: [chronic lymphocytic leukemia, epidemiologyRegion, most common leukemia in Western countries]
-
A.
epidemiologicalStatus
Indicates the health-related condition or disease state of an entity within an epidemiological context, such as being infected, susceptible, recovered, or exposed.
-
B.
higherPrevalenceRegion
Indicates that a condition, characteristic, or phenomenon occurs more frequently in one region compared to another.
-
C.
epidemiology
Indicates the study and analysis of how diseases or health-related conditions are distributed and spread within populations, and the factors influencing these patterns.
-
D.
countryOrRegionOfPrevalence
chosen
Indicates the country or geographic region where something (such as a condition, practice, or phenomenon) is most commonly found or occurs most frequently.
-
E.
demographicRegion
Indicates that an entity is associated with, belongs to, or is characterized by a particular geographic or administrative region for demographic purposes.
- 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_69f6bb3795fc8190bfcb00d45aa887a1 |
completed | May 3, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:35 a.m.