Triple
T17498831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Athena |
E426142
|
entity |
| Predicate | announcementEvent |
P1664
|
FINISHED |
| Object | AWS re:Invent 2016 |
—
|
NE NERFINISHED |
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: AWS re:Invent 2016 | Statement: [Amazon Athena, announcementEvent, AWS re:Invent 2016]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AWS re:Invent 2016 Context triple: [Amazon Athena, announcementEvent, AWS re:Invent 2016]
-
A.
AWS re:Invent 2016
chosen
AWS re:Invent 2016 was Amazon Web Services’ annual cloud computing conference held in 2016, featuring major product announcements, technical sessions, and keynotes for developers and IT professionals.
-
B.
AWS re:Invent 2018
AWS re:Invent 2018 was Amazon Web Services’ annual cloud computing conference held in 2018, featuring major product launches, technical sessions, and keynotes for developers and IT professionals.
-
C.
AWS re:Invent 2014
AWS re:Invent 2014 was Amazon Web Services’ annual cloud computing conference that year, featuring major product launches, technical sessions, and keynotes for developers and IT professionals.
-
D.
Amazon Web Services re:Invent 2017
Amazon Web Services re:Invent 2017 was AWS’s annual cloud computing conference where it unveiled major new services and features, including container-focused offerings like AWS Fargate.
-
E.
AWS Snowmobile
AWS Snowmobile is a massive data transfer service that uses secure, truck-sized storage containers to physically move extremely large volumes of data into the AWS cloud.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dd9164819087b1dc3c9240c870 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4521028048190aa7c4023a72a12f4 |
completed | April 19, 2026, 3:54 a.m. |
Created at: April 10, 2026, 5:48 a.m.