Triple
T22932040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ESearch |
E569467
|
entity |
| Predicate | acronymFor |
P590
|
FINISHED |
| Object | Entrez Search |
—
|
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: Entrez Search | Statement: [ESearch, acronymFor, Entrez Search]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Entrez Search Context triple: [ESearch, acronymFor, Entrez Search]
-
A.
MeSH Browser
MeSH Browser is an online tool provided by the National Library of Medicine for searching and exploring the Medical Subject Headings (MeSH) controlled vocabulary used in biomedical indexing and cataloging.
-
B.
ESearch
ESearch is an NCBI E-utilities service that performs text-based searches of NCBI databases and returns lists of matching record identifiers.
-
C.
Entrez
chosen
Entrez is an integrated, text-based search and retrieval system developed by the NCBI for accessing a wide range of biomedical and genomic databases.
-
D.
NCBI E-utilities API
The NCBI E-utilities API is a set of programmatic web services that allow automated querying, retrieval, and integration of data from NCBI databases such as PubMed.
-
E.
NCBI MedGen database
The NCBI MedGen database is a curated resource that aggregates information on human medical genetics, including diseases, phenotypes, and related genomic data, to support clinical and research applications.
- 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_69e2458f7d008190901dccbaebeaba24 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1813260608190bb9e1ca704c7e12f |
completed | April 29, 2026, 3:55 a.m. |
Created at: April 17, 2026, 3:44 p.m.