Triple
T9838786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | de Bruijn graph |
E239167
|
entity |
| Predicate | compactedVariantUsedFor |
P90266
|
FINISHED |
| Object | reducing number of vertices and edges |
—
|
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: reducing number of vertices and edges | Statement: [de Bruijn graph, compactedVariantUsedFor, reducing number of vertices and edges]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: compactedVariantUsedFor Context triple: [de Bruijn graph, compactedVariantUsedFor, reducing number of vertices and edges]
-
A.
usedInVariant
Indicates that something (such as a component, feature, or element) is utilized or included within a particular variant or version of a larger entity.
-
B.
exportVariantOf
Indicates that one entity is an exported version or externally released form derived from another, original entity.
-
C.
isCompact
Indicates that an object or space has a small, efficiently arranged size or volume relative to its function or contents.
-
D.
compiledTo
Indicates that one artifact (such as source code) has been transformed into another, typically lower-level or executable form, through a compilation process.
-
E.
compiledIn
Indicates that a piece of code, program, or module was compiled within or for a specific environment, system, or context.
- 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_69ca84e314108190978324a4bdb959f8 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34921b881909836ba0f5b42a27b |
completed | April 2, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69cd03e30bc08190816c0a6d29c21b0f |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:33 p.m.