Triple
T14254477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MeSH |
E353350
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Medical Subject Headings |
E353351
|
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: Medical Subject Headings | Statement: [MeSH, fullName, Medical Subject Headings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medical Subject Headings Context triple: [MeSH, fullName, Medical Subject Headings]
-
A.
Medical Subject Headings
chosen
Medical Subject Headings (MeSH) is a comprehensive controlled vocabulary thesaurus used for indexing, cataloging, and searching biomedical and health-related information.
-
B.
MeSH
MeSH (Medical Subject Headings) is a comprehensive controlled vocabulary thesaurus used for indexing, cataloging, and searching biomedical and health-related information.
-
C.
MeSH Supplementary Concept Records
MeSH Supplementary Concept Records are additional, more granular entries in the Medical Subject Headings system used to index and retrieve information on specific chemicals, drugs, and other specialized biomedical concepts not covered by main MeSH headings.
-
D.
SNOMED CT
SNOMED CT is a comprehensive, multilingual clinical healthcare terminology used worldwide to standardize the recording and sharing of medical information in electronic health records.
-
E.
Unified Medical Language System
The Unified Medical Language System is a comprehensive set of files and software from the U.S. National Library of Medicine that integrates and standardizes numerous biomedical vocabularies and coding systems to support interoperability and advanced information retrieval in healthcare and research.
- 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_69fd3d127f0c81908dea42ca09c1abda |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:09 a.m.