Triple
T14254593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medical Subject Headings |
E353351
|
entity |
| Predicate | hasGovernanceBody |
P2886
|
FINISHED |
| Object | NLM MeSH Section |
E353349
|
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: NLM MeSH Section | Statement: [Medical Subject Headings, hasGovernanceBody, NLM MeSH Section]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NLM MeSH Section Context triple: [Medical Subject Headings, hasGovernanceBody, NLM MeSH Section]
-
A.
MeSH
MeSH (Medical Subject Headings) is a comprehensive controlled vocabulary thesaurus used for indexing, cataloging, and searching biomedical and health-related information.
-
B.
MeSH qualifiers
MeSH qualifiers are standardized subheadings used in conjunction with Medical Subject Headings to refine and specify the aspects of biomedical topics in MEDLINE indexing and retrieval.
-
C.
Medical Subject Headings
Medical Subject Headings (MeSH) is a comprehensive controlled vocabulary thesaurus used for indexing, cataloging, and searching biomedical and health-related information.
-
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.
NLM bibliographic services
chosen
NLM bibliographic services are the U.S. National Library of Medicine’s suite of databases and tools that provide access to biomedical literature and related bibliographic information.
- 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.