Triple
T1447751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kindle Direct Publishing |
E31213
|
entity |
| Predicate | royaltyRateOption |
P9385
|
FINISHED |
| Object | 35% royalty |
—
|
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: 35% royalty | Statement: [Kindle Direct Publishing, royaltyRateOption, 35% royalty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: royaltyRateOption Context triple: [Kindle Direct Publishing, royaltyRateOption, 35% royalty]
-
A.
hasRateType
chosen
Indicates the specific category or scheme under which a rate (such as a price, fee, or interest) is defined or applied.
-
B.
feePolicy
Indicates the rules or conditions that determine how fees are calculated, applied, or charged in a given context.
-
C.
offersGrade
Indicates that one entity assigns or provides an academic grade or evaluation to another entity.
-
D.
priceDeterminedBy
Indicates that the price of one entity is set, influenced, or calculated based on another entity or factor.
-
E.
licensePreference
Indicates a party’s chosen or prioritized type of license to use, grant, or operate under in a given context.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55aa7dc8190aa7452d80ec8305e |
completed | March 1, 2026, 11:01 p.m. |
| PD | Predicate disambiguation | batch_69a4c47a840c819083307a65c027a19e |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8 p.m.