Triple
T14254589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medical Subject Headings |
E353351
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | ICD |
E477580
|
NE 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: ICD | Statement: [Medical Subject Headings, relatedTo, ICD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ICD Context triple: [Medical Subject Headings, relatedTo, ICD]
-
A.
ICD
chosen
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.
ICF
ICF (International Classification of Functioning, Disability and Health) is a World Health Organization framework and classification system for describing and measuring health and disability in individuals and populations.
-
D.
ICP
ICP (Initial Connection Protocol) was an early ARPANET protocol used to establish and negotiate initial connections between hosts before handing communication over to higher-level services.
-
E.
ICP
ICP is a leading New York City museum and school dedicated to photography and visual culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278c43e08190824146f4632b89a5 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6297f38c819090d7c7fd8bfa2e9e |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd325c98288190ba035fb5cc5bcf6b |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:09 a.m.