Triple
T19873564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ICD |
E477580
|
entity |
| Predicate | hasVersion |
P455
|
FINISHED |
| Object | ICD-9 |
—
|
NE NERFINISHED |
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: ICD-9 | Statement: [ICD, hasVersion, ICD-9]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ICD-9 Context triple: [ICD, hasVersion, ICD-9]
-
A.
ICD
ICD is the World Health Organization’s global standard system for classifying diseases and related health conditions for clinical, epidemiological, and statistical purposes.
-
B.
ICD
ICD is the sovereign wealth fund of the Government of Dubai, managing a diversified global portfolio of strategic and commercial investments.
-
C.
International Classification of Diseases
chosen
The International Classification of Diseases is a globally used diagnostic system that standardizes codes for diseases, health conditions, and related medical problems to support clinical care, research, and health statistics.
-
D.
ICD-O
ICD-O (International Classification of Diseases for Oncology) is a specialized coding system used worldwide for classifying tumors by site, morphology, behavior, and grade in cancer registration and research.
-
E.
HCPCS Level II
HCPCS Level II is a standardized coding system used in the United States to identify non-physician services, supplies, and products such as durable medical equipment and ambulance services for billing and administrative purposes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d92f9c8190b363587ed1881c2c |
completed | April 20, 2026, 4:48 p.m. |
Created at: April 10, 2026, 1:51 p.m.