Triple
T14254545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medical Subject Headings |
E353351
|
entity |
| Predicate | organizesConceptsBy |
P5709
|
FINISHED |
| Object | hierarchical structure |
—
|
LITERAL 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: hierarchical structure | Statement: [Medical Subject Headings, organizesConceptsBy, hierarchical structure]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: organizesConceptsBy Context triple: [Medical Subject Headings, organizesConceptsBy, hierarchical structure]
-
A.
organizedUnder
Indicates that one entity is administratively or structurally placed within, and governed or managed by, another entity.
-
B.
categoryConcept
Indicates that one entity serves as a categorical type or conceptual class under which the other entity is grouped or classified.
-
C.
exportsConcept
Indicates that one entity sends or supplies a concept, idea, or abstract knowledge resource from itself to another entity or context.
-
D.
organizesInto
chosen
Indicates that one entity arranges, structures, or groups another entity into a particular order, system, or set of categories.
-
E.
organizingElement
Indicates that one entity serves as the primary structuring or coordinating element that arranges, orders, or systematizes other related entities or components.
- F. None of above.
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. |
| PD | Predicate disambiguation | batch_69de05c09b7881908acbca18bd7d997c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:09 a.m.