Triple
T18087986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitral valve |
E432888
|
entity |
| Predicate | associatedWithHeartSound |
P124232
|
FINISHED |
| Object | first heart sound S1 |
—
|
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: first heart sound S1 | Statement: [Mitral valve, associatedWithHeartSound, first heart sound S1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithHeartSound Context triple: [Mitral valve, associatedWithHeartSound, first heart sound S1]
-
A.
hasAssociatedDisease
Indicates that an entity is linked to, or commonly occurs with, a particular disease or medical condition.
-
B.
associatedWithSee
Indicates a relationship where one entity is contextually or functionally linked to another through the act or concept of seeing or visual observation.
-
C.
associatedVow
Indicates a relationship where a vow is linked or connected to a particular entity or event.
-
D.
containsSound
chosen
Indicates that one entity includes, embodies, or produces the sound associated with another entity.
-
E.
associatedMOS
Indicates a relationship where one entity is linked to or paired with a specific Military Occupational Specialty (MOS) code or role.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd16234c8190b547e893a829d6c5 |
completed | April 19, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69e4330e1f2881908b2506d47c48736b |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:27 a.m.