Triple
T28859619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | three-domain system of Carl Woese |
E728822
|
entity |
| Predicate | recognizesDomain |
P11984
|
FINISHED |
| Object | Eukarya as distinct from Bacteria |
—
|
NE NERFINISHED |
How this triple was built (1 step)
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: Eukarya as distinct from Bacteria | Statement: [three-domain system of Carl Woese, recognizesDomain, Eukarya as distinct from Bacteria]
Provenance (2 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_69f031a01cbc8190ba87270bb6fe4639 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f7273ab7908190ab8e25d6d1264c60 |
completed | May 3, 2026, 10:45 a.m. |
Created at: April 28, 2026, 6:46 a.m.