Triple
T26297046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobo Nia |
E661444
|
entity |
| Predicate | supportsLineSpacingAdjustment |
P195964
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kobo Nia, supportsLineSpacingAdjustment, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsLineSpacingAdjustment Context triple: [Kobo Nia, supportsLineSpacingAdjustment, yes]
-
A.
supportsLine
Indicates that one entity provides structural, functional, or conceptual backing or reinforcement to a particular line (such as a line of text, code, argument, or physical alignment).
-
B.
hasAlternativeSpacing
Indicates that an entity is associated with one or more alternative ways of spacing its characters or components compared to a primary or standard form.
-
C.
hasLineation
Indicates that one entity applies or exhibits a particular system or pattern of line division (lineation) in relation to another entity, such as a text, surface, or layout.
-
D.
hasStopSpacing
Indicates that there is a specified distance or interval between consecutive stops in a route or sequence.
-
E.
supportsWordWrap
Indicates that one entity provides or enables automatic wrapping of text onto the next line instead of extending it horizontally.
- 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_69ee812cd48c81908054068f545f0526 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69fdfbafe32081909c62653ff4fc155c |
completed | May 8, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69fdf64db4a881908f8250e24ae3cefb |
completed | May 8, 2026, 2:42 p.m. |
| PDg | Predicate description generation | batch_69fdfbae00e481908a2e4558b9dee07e |
completed | May 8, 2026, 3:05 p.m. |
Created at: April 26, 2026, 10:13 p.m.