Triple
T1759213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monera |
E38616
|
entity |
| Predicate | geneticExchange |
P31423
|
FINISHED |
| Object | conjugation |
—
|
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: conjugation | Statement: [Monera, geneticExchange, conjugation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: geneticExchange Context triple: [Monera, geneticExchange, conjugation]
-
A.
geneticReassortmentOf
Indicates a relationship where genetic material from different sources is mixed and reorganized to form a new genetic combination in the target entity.
-
B.
geneticMaterial
Indicates that one entity serves as the hereditary or genetic substance (e.g., DNA or RNA) of another entity.
-
C.
facilitatedExchangeOf
Indicates that one entity made it easier or more efficient for another entity to carry out an exchange or transfer between parties.
-
D.
geneticAffinity
Indicates a relationship where entities share a notable degree of genetic similarity or relatedness.
-
E.
geneticInfluence
Indicates that one entity affects or contributes to the genetic traits, characteristics, or heredity of another entity.
- 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab173936b4819097332ee185996bbd |
completed | March 6, 2026, 6:04 p.m. |
| PD | Predicate disambiguation | batch_69aa61c9e06c819085489e00cfe72153 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab173830a481908b67928f16f5d999 |
completed | March 6, 2026, 6:04 p.m. |
Created at: March 4, 2026, 7:31 p.m.