Triple
T14254604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MeSH qualifiers |
E353352
|
entity |
| Predicate | usedIn |
P98
|
FINISHED |
| Object | Index Medicus |
E353350
|
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: Index Medicus | Statement: [MeSH qualifiers, usedIn, Index Medicus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Index Medicus Context triple: [MeSH qualifiers, usedIn, Index Medicus]
-
A.
Index Chemicus
Index Chemicus is a specialized abstracting and indexing service that provides comprehensive coverage of newly reported organic compounds and synthetic methods in the chemical literature.
-
B.
Index Catalogue
The Index Catalogue is an astronomical catalog that extends the New General Catalogue by listing additional nebulae, star clusters, and galaxies.
-
C.
MeSH
chosen
MeSH (Medical Subject Headings) is a comprehensive controlled vocabulary thesaurus used for indexing, cataloging, and searching biomedical and health-related information.
-
D.
Effie Index
The Effie Index is a global ranking system that identifies and celebrates the world’s most effective marketing and advertising companies, brands, and agencies based on Effie Awards performance.
-
E.
IDX
IDX is a simple binary file format commonly used to store multidimensional numerical arrays, such as the handwritten digit images and labels in the MNIST dataset.
- 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.