Triple
T14426957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yersiniaceae |
E357720
|
entity |
| Predicate | typeGenus |
P5980
|
FINISHED |
| Object | Yersinia |
E357719
|
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: Yersinia | Statement: [Yersiniaceae, typeGenus, Yersinia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yersinia Context triple: [Yersiniaceae, typeGenus, Yersinia]
-
A.
Yersinia
chosen
Yersinia is a genus of Gram-negative bacteria that includes several pathogenic species, most notably Yersinia pestis, the causative agent of plague.
-
B.
Francisella
Francisella is a genus of small, Gram-negative, facultatively intracellular bacteria best known for including Francisella tularensis, the causative agent of tularemia.
-
C.
Francisella tularensis
Francisella tularensis is a highly infectious, gram-negative bacterium that causes tularemia and is considered a serious potential bioterrorism agent.
-
D.
Yersinia pestis
Yersinia pestis is a highly virulent bacterium responsible for plague, including the historic pandemics of bubonic, septicemic, and pneumonic forms.
-
E.
Erwinia
Erwinia is a genus of plant-pathogenic bacteria known for causing diseases such as fire blight in fruit trees and soft rot in various crops.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de911398f08190be85bc0a8bef6b1b |
completed | April 14, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e7563188190b50c4413cd5dde37 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:18 a.m.