Triple
T9705856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Lab126 |
E234895
|
entity |
| Predicate | developerOf |
P13609
|
FINISHED |
| Object | Fire tablets |
E165147
|
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 tablets | Statement: [Amazon Lab126, developerOf, Fire tablets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fire tablets Context triple: [Amazon Lab126, developerOf, Fire tablets]
-
A.
Fire tablets
chosen
Fire tablets are Amazon's budget-friendly Android-based tablets designed for media consumption, reading, and integration with Amazon services.
-
B.
Amazon Fire tablet
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.
-
C.
The Tablet
The Tablet is a Catholic newspaper serving the Diocese of Brooklyn, providing news, commentary, and information for the local Catholic community.
-
D.
Flare
Flare is one of the official mascots of the 2002 Winter Olympics in Salt Lake City, representing the Olympic spirit through a stylized animal character.
-
E.
FIRE
FIRE is a near-infrared spectrograph instrument used on large astronomical telescopes to study celestial objects at infrared wavelengths.
- 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_69ca84cc78808190a56f3402b7c139a7 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9da369b4819081f6ce01289ed725 |
completed | April 1, 2026, 10:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19136b40c8190922052dd84d49f15 |
completed | April 4, 2026, 10:31 p.m. |
Created at: March 30, 2026, 8:19 p.m.