Triple
T25111286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bacteriophage T1 |
E629000
|
entity |
| Predicate | genomeTopology |
P137288
|
FINISHED |
| Object | linear DNA |
—
|
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: linear DNA | Statement: [Bacteriophage T1, genomeTopology, linear DNA]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: genomeTopology Context triple: [Bacteriophage T1, genomeTopology, linear DNA]
-
A.
usesTopology
Indicates that one entity employs, is based on, or operates according to a particular topology defined or provided by another entity.
-
B.
typicalTopology
Indicates the usual or most common network or structural arrangement that characterizes how the related entities are organized or interconnected.
-
C.
hasGenomeStructure
chosen
Indicates that one entity possesses or is characterized by a specific genome organization or arrangement.
-
D.
genomeSegmentation
Indicates a relationship where a genome is divided into distinct segments or regions, typically based on functional, structural, or regulatory characteristics.
-
E.
topologically
Indicates a relationship or property considered in terms of the continuity, connectivity, or shape-preserving structure of spaces, rather than their exact geometric measurements.
- 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_69e2ff3169d08190973b6061d5009abd |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f46577989081909278965a9844ebad |
completed | May 1, 2026, 8:33 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:27 a.m.