Triple
T920939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delicious |
E19880
|
entity |
| Predicate | soldTo |
P7792
|
FINISHED |
| Object | AVOS Systems |
E107971
|
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: AVOS Systems | Statement: [Delicious, soldTo, AVOS Systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVOS Systems Context triple: [Delicious, soldTo, AVOS Systems]
-
A.
AVOS Systems
chosen
AVOS Systems was a technology company co-founded by YouTube’s creators that focused on developing and managing online consumer web services and social bookmarking platforms.
-
B.
Kii Channel
The Kii Channel is a strait in western Japan that separates the islands of Honshu and Shikoku and links the Seto Inland Sea with the Pacific Ocean.
-
C.
RDS
RDS is a Canadian French-language sports television network that broadcasts a wide range of professional and amateur sporting events.
-
D.
Amazon DynamoDB
Amazon DynamoDB is a fully managed, serverless NoSQL database service by AWS designed for high-performance, scalable key-value and document data storage.
-
E.
Loudcloud
Loudcloud was a pioneering early-2000s cloud and managed hosting company co-founded by Marc Andreessen that later evolved into the software firm Opsware.
- 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_69a493a099788190a696d9d8408cbaf4 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3120dbc81908362158fe3ffa889 |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee094c94819093578c949db7ded9 |
completed | March 4, 2026, 8:32 a.m. |
Created at: March 1, 2026, 7:40 p.m.