Triple
T18020762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Right ventricle |
E431110
|
entity |
| Predicate | wallThicknessComparedTo |
P129452
|
FINISHED |
| Object | thinner than left ventricle |
—
|
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: thinner than left ventricle | Statement: [Right ventricle, wallThicknessComparedTo, thinner than left ventricle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wallThicknessComparedTo Context triple: [Right ventricle, wallThicknessComparedTo, thinner than left ventricle]
-
A.
domeThickness
Indicates the measured or specified thickness of a dome structure in the relationship.
-
B.
thickness
Indicates the measure of how deep or wide an object or layer is from one surface or side to its opposite.
-
C.
wallMaterial
Indicates that one entity is the material from which a wall or walls of another entity are constructed.
-
D.
deckArmorThickness
Indicates the thickness of the armor plating on the horizontal deck surface of a vehicle, vessel, or structure.
-
E.
sideArmorThickness
Indicates the thickness of an object's armor specifically along its sides.
- F. None of above. chosen
Provenance (4 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c1c5f88190a059ce4f86f7ed36 |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:24 a.m.