Triple
T18088092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inferior vena cava |
E432890
|
entity |
| Predicate | suppliesRegion |
P130388
|
FINISHED |
| Object | returns blood from lower extremities |
—
|
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: returns blood from lower extremities | Statement: [Inferior vena cava, suppliesRegion, returns blood from lower extremities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suppliesRegion Context triple: [Inferior vena cava, suppliesRegion, returns blood from lower extremities]
-
A.
suppliedRegion
Indicates that one entity serves as the geographic or administrative region from which another entity receives its supply or resources.
-
B.
exportRegion
Indicates the region or geographic area from which goods, services, or resources are exported.
-
C.
serviceRegion
Indicates the geographic area or jurisdiction within which a service is provided or applicable.
-
D.
supportsRegion
Indicates that one entity provides assistance, resources, or backing to a specific geographic or administrative region.
-
E.
regionalComponent
Indicates that one entity functions as a sub-region or constituent part within the larger geographic or administrative area represented by the other entity.
- 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_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. |
| PDg | Predicate description generation | batch_69e438f5ae2c8190b11dee46534fa5a9 |
completed | April 19, 2026, 2:07 a.m. |
Created at: April 10, 2026, 10:27 a.m.