Triple
T16854554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazon Ads |
E409750
|
entity |
| Predicate | supportsMarketplace |
P2714
|
FINISHED |
| Object | Amazon.co.uk |
E4942
|
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: Amazon.co.uk | Statement: [Amazon Ads, supportsMarketplace, Amazon.co.uk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amazon.co.uk Context triple: [Amazon Ads, supportsMarketplace, Amazon.co.uk]
-
A.
Cleery
Cleery is a surname that functions as a variant spelling of the more common name Cleary.
-
B.
Orange UK
Orange UK was a major British mobile network operator that became part of EE following its merger with T-Mobile UK.
-
C.
WHSmith
WHSmith is a major British retail chain best known for selling books, stationery, magazines, and related products in high-street and travel locations.
-
D.
Amazon
chosen
Amazon is a multinational technology and e-commerce company best known for its vast online marketplace, cloud computing services through AWS, and significant influence on global retail and logistics.
-
E.
Amazon
The Amazons are a legendary race of warrior women from Greek mythology, often depicted as exceptionally skilled fighters living in a matriarchal society apart from the world of men.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37c6e808190975b14b228253029 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb216fac81909d401c6b9911d1e0 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.