Triple
T8357470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Whittaker five-kingdom system |
E196714
|
entity |
| Predicate | treatsBacteriaAndArchaeaAs |
P82288
|
FINISHED |
| Object | single kingdom Monera |
—
|
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: single kingdom Monera | Statement: [Whittaker five-kingdom system, treatsBacteriaAndArchaeaAs, single kingdom Monera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsBacteriaAndArchaeaAs Context triple: [Whittaker five-kingdom system, treatsBacteriaAndArchaeaAs, single kingdom Monera]
-
A.
bacteriumIdentifiedIn
Indicates that a specific bacterium has been detected, recognized, or confirmed as present in a particular sample, environment, or host.
-
B.
isBacteriaResistant
Indicates that a bacterium is not inhibited or killed by a particular antibiotic or antimicrobial treatment.
-
C.
pathogenGenus
Indicates that one entity is a pathogen belonging to, or classified under, the specified genus.
-
D.
pathogenType
Indicates the specific kind or category of pathogen associated with or responsible for an entity or condition.
-
E.
targetOrganism
Indicates that an action, process, or effect is directed toward or intended to impact a particular organism.
- 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_69ca82f08b348190bfb7881944bbff6f |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb804b57f88190907a4e4e389caf5f |
completed | March 31, 2026, 8:05 a.m. |
| PD | Predicate disambiguation | batch_69cb70ca25548190b0f90c5384e3fb3c |
completed | March 31, 2026, 6:59 a.m. |
| PDg | Predicate description generation | batch_69cb76d823b08190a54fadb50660cda5 |
completed | March 31, 2026, 7:25 a.m. |
Created at: March 30, 2026, 5:59 p.m.