Triple
T7089342
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Fire tablet |
E165151
|
entity |
| Predicate | hasModel |
P2390
|
FINISHED |
| Object | Fire HD 10 |
E165151
|
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: Fire HD 10 | Statement: [Amazon Fire tablet, hasModel, Fire HD 10]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fire HD 10 Context triple: [Amazon Fire tablet, hasModel, Fire HD 10]
-
A.
Amazon Fire tablet
chosen
The Amazon Fire tablet is a line of budget-friendly Android-based tablets by Amazon, designed for media consumption, reading, and integration with Amazon’s digital services.
-
B.
Fire TV
Fire TV is Amazon’s digital media platform and line of streaming devices that let users watch online video, use apps, and access Alexa on their televisions.
-
C.
Nook e-reader
The Nook e-reader is Barnes & Noble’s line of electronic reading devices designed for purchasing, downloading, and reading digital books and other publications.
-
D.
Kindle
Kindle is Amazon’s line of portable e-readers designed primarily for reading digital books and other electronic publications.
-
E.
Onyx Boox e-readers
Onyx Boox e-readers are Android-based digital reading devices known for their versatile app support, stylus-enabled note-taking, and eye-friendly E Ink displays.
- 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_69c6887d98408190912b9580666b0c1d |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e52ec0348190ac090c2fee3edfb8 |
completed | March 27, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ad7f7cac81909c13fbb60acd9a69 |
completed | March 28, 2026, 10:29 a.m. |
Created at: March 27, 2026, 2:41 p.m.