Triple
T2508994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vibrio cholerae |
E52655
|
entity |
| Predicate | O1Biotype |
P40896
|
FINISHED |
| Object | classical |
—
|
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: classical | Statement: [Vibrio cholerae, O1Biotype, classical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: O1Biotype Context triple: [Vibrio cholerae, O1Biotype, classical]
-
A.
oreType
Indicates the specific kind or classification of ore associated with an entity.
-
B.
onomaType
Indicates a classification or type relationship associated with a name or designation between entities.
-
C.
guthrieClassification
Indicates a categorization relationship where an entity is assigned a class or type according to the Guthrie classification system.
-
D.
diagnosticBiomarker
Indicates that one entity serves as a measurable biological indicator used to detect, confirm, or help diagnose a condition or disease in another entity.
-
E.
organismType
Indicates the biological classification or kind of organism that an entity is.
- 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_69ab4958e76481908a235377dd921c9e |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd65d6a988190aaaac8e98540a14f |
completed | March 7, 2026, 7:40 a.m. |
| PD | Predicate disambiguation | batch_69abd0bd996c8190ba8b9d6e4333b8d4 |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd65c9d508190957285a078698ed2 |
completed | March 7, 2026, 7:40 a.m. |
Created at: March 6, 2026, 9:46 p.m.