Triple
T11515360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Tor |
E273016
|
entity |
| Predicate | hasHemolysisProperty |
P40205
|
FINISHED |
| Object | positive chicken red blood cell hemolysis |
—
|
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: positive chicken red blood cell hemolysis | Statement: [El Tor, hasHemolysisProperty, positive chicken red blood cell hemolysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHemolysisProperty Context triple: [El Tor, hasHemolysisProperty, positive chicken red blood cell hemolysis]
-
A.
hasBloodPigment
Indicates that an organism possesses a specific pigment in its blood responsible for coloration and often for oxygen transport.
-
B.
hemolysisOnBloodAgar
chosen
Indicates that an organism causes visible destruction or alteration of red blood cells when grown on blood agar.
-
C.
hasBlood
Indicates that one entity possesses or contains the blood of another entity.
-
D.
hasBloodTypeSystem
Indicates that an entity uses or is classified according to a particular blood type classification system (e.g., ABO, Rh).
-
E.
hasSedimentationIssue
Indicates that an entity experiences or is affected by problems related to the accumulation and settling of particles (sedimentation), often impairing its normal function or quality.
- 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.