Triple
T1447724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kindle Direct Publishing |
E31213
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | KDP |
E31213
|
NE 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: KDP | Statement: [Kindle Direct Publishing, shortName, KDP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KDP Context triple: [Kindle Direct Publishing, shortName, KDP]
-
A.
Kindle Direct Publishing
chosen
Kindle Direct Publishing is Amazon’s self-publishing platform that allows authors and publishers to independently publish and sell digital and print books directly to readers worldwide.
-
B.
Amazon Publisher Services
Amazon Publisher Services is a suite of cloud-based advertising tools from Amazon that helps publishers manage, optimize, and monetize their digital ad inventory across web and app properties.
-
C.
KPUB
KPUB is the ICAO airport code for Pueblo Memorial Airport, a public airport serving Pueblo, Colorado, in the United States.
-
D.
KAP
KAP is the ICAO airline designator used to identify Cape Air in international aviation operations.
-
E.
Kindle
Kindle is Amazon’s line of portable e-readers designed primarily for reading digital books and other electronic publications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad08c229808190af9936b481390170 |
completed | March 8, 2026, 5:27 a.m. |
Created at: March 1, 2026, 8 p.m.