Triple
T37449778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Listonella |
E930643
|
entity |
| Predicate | hasPeptidoglycanLayer |
P12467
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Listonella, hasPeptidoglycanLayer, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPeptidoglycanLayer Context triple: [Listonella, hasPeptidoglycanLayer, true]
-
A.
cellWallContainsPeptidoglycan
chosen
Indicates that the cell wall of an organism includes peptidoglycan as one of its structural components.
-
B.
hasOuterMembrane
Indicates that an entity possesses an outer membrane surrounding its main cellular or structural body.
-
C.
peptidoglycanTargetingAntibioticSensitivity
Indicates that an entity (such as a bacterium or strain) is sensitive or susceptible to antibiotics that act by targeting peptidoglycan in the cell wall.
-
D.
isNonSporeForming
Indicates that an organism does not produce spores as part of its life cycle or reproductive strategy.
-
E.
hasPharyngealSlits
Indicates that an organism possesses pharyngeal slits, openings in the pharynx that connect the throat to the external environment or a cavity, typically used for filter-feeding or respiration.
- 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_69f76ec0b9488190b7a4fae632bd1d2f |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fe9b0276d48190b554fa22b043e6d8 |
completed | May 9, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69fe999692b081909921e1148d66f0ef |
completed | May 9, 2026, 2:19 a.m. |
Created at: May 3, 2026, 4:17 p.m.