Triple
T25704019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balnibarbi |
E644537
|
entity |
| Predicate | scienceStyle |
P159487
|
FINISHED |
| Object | theoretical and impractical |
—
|
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: theoretical and impractical | Statement: [Balnibarbi, scienceStyle, theoretical and impractical]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: scienceStyle Context triple: [Balnibarbi, scienceStyle, theoretical and impractical]
-
A.
scientificOutreach
Indicates activities or efforts aimed at communicating scientific knowledge, methods, or results to audiences outside the core research community.
-
B.
isScientific
Indicates that something pertains to or is based on systematic scientific methods, principles, or knowledge.
-
C.
SCIType
Indicates a classification relationship where an entity is assigned a specific type or category within a scientific or structured information context.
-
D.
scienceDomain
Indicates that one entity is a field, branch, or domain within science to which the other entity is related or belongs.
-
E.
hasScience
Indicates that an entity possesses, includes, or is associated with a particular scientific discipline, content, or attribute.
- 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_69e77e83c8ec8190bf52fcdac4838984 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f5fc0f911c819083ea7748550df1d0 |
completed | May 2, 2026, 1:28 p.m. |
| PD | Predicate disambiguation | batch_69f4a0f7c6008190ae8cee3e71e19b94 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 21, 2026, 9 p.m.