Triple
T20165981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Game Boy Printer |
E491825
|
entity |
| Predicate | usesPaperType |
P138932
|
FINISHED |
| Object | thermal sticker paper |
—
|
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: thermal sticker paper | Statement: [Game Boy Printer, usesPaperType, thermal sticker paper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPaperType Context triple: [Game Boy Printer, usesPaperType, thermal sticker paper]
-
A.
hasPaper
Indicates that an entity possesses, is associated with, or includes a specific paper (such as a document, publication, or written work) in some relevant context.
-
B.
paper1Type
Indicates that one entity is classified as the primary or first type/category of the associated paper entity.
-
C.
mainsPaperType
Indicates the type or category of paper associated with a mains (main) examination or assessment.
-
D.
paperFormat
Indicates the specific size or layout standard in which a paper document is produced or presented.
-
E.
paper2Type
Indicates that a given paper is associated with, or classified as, a specific type or category of paper.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e668442d2c81908bb1a0fac9895b5e |
completed | April 20, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:35 p.m.