Triple
T18021147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pulmonary veins |
E431118
|
entity |
| Predicate | CO2LevelOfBlood |
P31410
|
FINISHED |
| Object | Low |
—
|
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: Low | Statement: [Pulmonary veins, CO2LevelOfBlood, Low]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: CO2LevelOfBlood Context triple: [Pulmonary veins, CO2LevelOfBlood, Low]
-
A.
carbonDioxideLevel
chosen
Indicates the measured concentration or amount of carbon dioxide present in a given environment or system.
-
B.
oxygenPhysiology
Indicates the physiological processes, functions, or effects involving oxygen in an organism.
-
C.
oxygenationIndicator
Indicates that something serves as a marker or measure of the presence, level, or status of oxygenation in a system or process.
-
D.
bloodStatus
Indicates the classification of an entity based on the type or purity of its blood or lineage.
-
E.
oxygenValueApprox
Indicates that the oxygen value of an entity is approximately equal to a specified reference value, within an acceptable margin of error.
- 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c299c48190b0cceecf77cb6de9 |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
Created at: April 10, 2026, 10:24 a.m.