Triple
T11515363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Tor |
E273016
|
entity |
| Predicate | hasPhageSusceptibility |
P583
|
FINISHED |
| Object | distinct from classical biotype |
—
|
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: distinct from classical biotype | Statement: [El Tor, hasPhageSusceptibility, distinct from classical biotype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPhageSusceptibility Context triple: [El Tor, hasPhageSusceptibility, distinct from classical biotype]
-
A.
drugSusceptibility
Indicates that one entity (typically a microorganism, cell, or condition) is vulnerable or responsive to the effects of a specified drug or therapeutic agent.
-
B.
isBacteriaResistant
Indicates that a bacterium is not inhibited or killed by a particular antibiotic or antimicrobial treatment.
-
C.
susceptibleTo
chosen
Indicates that one entity is vulnerable or likely to be affected, harmed, or influenced by another entity or factor.
-
D.
isPathogenOf
Indicates that one entity is a disease-causing agent (pathogen) that infects or causes illness in another entity.
-
E.
isResistant
Indicates that an entity can withstand, oppose, or is not significantly affected by a specified force, influence, or agent.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db8bf9c8190820c289e6b0c3873 |
completed | April 10, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69d80876e5f0819088cff2e72f773cf6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.