Triple
T18021163
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pulmonary veins |
E431118
|
entity |
| Predicate | bloodTypeRelativeToSystemicVeins |
P129471
|
FINISHED |
| Object | More oxygenated |
—
|
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: More oxygenated | Statement: [Pulmonary veins, bloodTypeRelativeToSystemicVeins, More oxygenated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bloodTypeRelativeToSystemicVeins Context triple: [Pulmonary veins, bloodTypeRelativeToSystemicVeins, More oxygenated]
-
A.
bloodType
Indicates that one entity has a specific blood group classification (such as A, B, AB, or O, with a positive or negative Rh factor).
-
B.
hasBloodTypeSystem
Indicates that an entity uses or is classified according to a particular blood type classification system (e.g., ABO, Rh).
-
C.
hasBlood
Indicates that one entity possesses or contains the blood of another entity.
-
D.
vascularSystem
Indicates the relationship in which an entity possesses or is associated with a system of blood vessels that transports blood throughout a body.
-
E.
bloodProduced
Indicates that one entity generates or produces blood for another entity or as a result of a process.
- 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_69e4b9c299c48190b0cceecf77cb6de9 |
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.