Triple
T18154300
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pulmonary valve |
E434587
|
entity |
| Predicate | hasSoundComponent |
P9711
|
FINISHED |
| Object | pulmonic component of second heart sound |
—
|
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: pulmonic component of second heart sound | Statement: [Pulmonary valve, hasSoundComponent, pulmonic component of second heart sound]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSoundComponent Context triple: [Pulmonary valve, hasSoundComponent, pulmonic component of second heart sound]
-
A.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
B.
containsSound
Indicates that one entity includes, embodies, or produces the sound associated with another entity.
-
C.
hasSoundEngineType
Indicates a relationship where an entity is associated with or characterized by a specific type of sound engine.
-
D.
hasSoundSystem
Indicates that an entity is equipped with or includes a sound system as one of its features.
-
E.
hasPartialSound
chosen
Indicates that one entity’s sound is included as a component or segment within the sound of another entity.
- 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_69d8b90aac308190801e2c57d8c5bfe5 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4de3a99c081908e9615072e62b02f |
completed | April 19, 2026, 1:52 p.m. |
| PD | Predicate disambiguation | batch_69e43317d11c81908d1dc14921566b47 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.