Triple
T18087990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitral valve |
E432888
|
entity |
| Predicate | hasTissueType |
P14750
|
FINISHED |
| Object | endocardium-lined fibrous tissue |
—
|
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: endocardium-lined fibrous tissue | Statement: [Mitral valve, hasTissueType, endocardium-lined fibrous tissue]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTissueType Context triple: [Mitral valve, hasTissueType, endocardium-lined fibrous tissue]
-
A.
hasTissue
chosen
Indicates that one entity possesses, contains, or is associated with a specific tissue of another entity.
-
B.
hasTissueLevelOrganization
Indicates that an entity possesses a structural organization composed of multiple tissues arranged into functional units.
-
C.
hasMaterialType
Indicates that something is composed of, made from, or characterized by a specific type of material.
-
D.
haveType
Indicates that an entity belongs to or is classified under a specified type or category.
-
E.
hasOrganStructure
Indicates that one entity possesses, contains, or is characterized by a particular organ structure.
- 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.