Triple
T3382222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virchow's angle |
E71211
|
entity |
| Predicate | usedToDetect |
P23055
|
FINISHED |
| Object | craniofacial abnormalities |
—
|
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: craniofacial abnormalities | Statement: [Virchow's angle, usedToDetect, craniofacial abnormalities]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedToDetect Context triple: [Virchow's angle, usedToDetect, craniofacial abnormalities]
-
A.
usedInDetector
Indicates that something (e.g., a component, material, or method) is employed as part of a detector or detection system.
-
B.
isUsedToProbe
chosen
Indicates that one entity is employed as a tool or method to investigate, test, or explore the properties, behavior, or state of another entity.
-
C.
requiresDetectionOf
Indicates that one entity can only occur, be valid, or proceed if another entity has first been detected or identified.
-
D.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
E.
usedToSearchFor
Indicates that one entity serves as a tool, method, or resource employed to look for, locate, or retrieve another entity.
- 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.