Triple
T35877386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ogawa |
E1037404
|
entity |
| Predicate | belongsToSerogroup |
P40894
|
FINISHED |
| Object | Vibrio cholerae O1 |
—
|
NE NERFINISHED |
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: Vibrio cholerae O1 | Statement: [Ogawa, belongsToSerogroup, Vibrio cholerae O1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: belongsToSerogroup Context triple: [Ogawa, belongsToSerogroup, Vibrio cholerae O1]
-
A.
serogroup
chosen
Indicates that entities are grouped or classified together based on sharing the same serological (antigenic) characteristics.
-
B.
includesSerotype
Indicates that one entity contains or encompasses a specific serotype as part of its defined set or composition.
-
C.
notableSerogroupsCause
Indicates that certain particularly significant serogroups are responsible for causing a specified disease, condition, or outcome.
-
D.
belongsToBreedGroup
Indicates that an animal is classified as a member of a specific breed group.
-
E.
protectsAgainstSerotypeCount
Indicates the number of distinct serotypes that something (typically a treatment, vaccine, or agent) provides protection against.
- 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_69f76e1e701c8190a4990d4978ce4fe6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ffbe9e47688190a2692566dc326646 |
completed | May 9, 2026, 11:09 p.m. |
| PD | Predicate disambiguation | batch_69ffbb7b45388190b62cbde5c2d435cd |
completed | May 9, 2026, 10:55 p.m. |
Created at: May 3, 2026, 4:06 p.m.