Triple
T568800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudolf Virchow |
E13615
|
entity |
| Predicate | hasEponym |
P12247
|
FINISHED |
| Object | Virchow's node |
E71208
|
NE 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: Virchow's node | Statement: [Rudolf Virchow, hasEponym, Virchow's node]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virchow's node Context triple: [Rudolf Virchow, hasEponym, Virchow's node]
-
A.
Virchow's node
chosen
Virchow's node is an enlarged left supraclavicular lymph node that classically indicates metastatic spread from abdominal or thoracic malignancies, especially gastric cancer.
-
B.
Hodgkin
Hodgkin is a surname most famously associated with Dorothy Hodgkin, the Nobel Prize–winning British chemist who advanced the field of X-ray crystallography.
-
C.
Virchow's angle
Virchow's angle is an anatomical measurement used in fetal ultrasound to assess cranial and facial development, named after the German pathologist Rudolf Virchow.
-
D.
Struma
The Struma is a significant river in the Balkans that flows from western Bulgaria into Greece, ultimately emptying into the Aegean Sea.
-
E.
Schievelbein
Schievelbein is a historic town in Pomerania, now known as Świdwin in northwestern Poland.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49d28af148190acad3cfb809ff2f2 |
completed | March 1, 2026, 8:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4fc81d6d4819090d91560efaa085d |
completed | March 2, 2026, 2:57 a.m. |
Created at: March 1, 2026, 7:33 p.m.