Triple
T3382164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virchow–Robin spaces |
E71210
|
entity |
| Predicate | surround |
P7850
|
FINISHED |
| Object | small penetrating blood vessels |
—
|
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: small penetrating blood vessels | Statement: [Virchow–Robin spaces, surround, small penetrating blood vessels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surround Context triple: [Virchow–Robin spaces, surround, small penetrating blood vessels]
-
A.
surrounds
chosen
Indicates that one entity is located all around another entity, enclosing or encircling it on multiple sides or completely.
-
B.
around
Indicates that one entity is located or moves on all or most sides of another entity, encircling or surrounding it spatially.
-
C.
ambientSpace
Indicates the surrounding or containing space within which an object, structure, or geometric entity is situated or defined.
-
D.
surroundChannelType
Indicates that an audio channel is designated as part of a surround sound configuration (e.g., rear, side, or height channels) rather than a standard stereo or mono channel.
-
E.
surroundedCity
Indicates that one city is encircled or completely enclosed by another city or its surrounding territory.
- 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_69ad85a8fd9c819095ecedf838d2bf1b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5e9af608190bfb228ef99a87bb7 |
completed | March 8, 2026, 5:46 p.m. |
| PD | Predicate disambiguation | batch_69ada434bae48190a77ea37f9274ad8f |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:14 p.m.