Triple
T17932226
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WeTransfer |
E448360
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | WeTransfer Pro |
—
|
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: WeTransfer Pro | Statement: [WeTransfer, hasProduct, WeTransfer Pro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WeTransfer Pro Context triple: [WeTransfer, hasProduct, WeTransfer Pro]
-
A.
WeTransfer
chosen
WeTransfer is a cloud-based file transfer service that enables users to easily send large files over the internet.
-
B.
Stefy
Stefy is an Italian diminutive nickname commonly used for the given name Stefania.
-
C.
AWS Transfer Family
AWS Transfer Family is a fully managed AWS service that enables secure file transfers directly into and out of Amazon S3 and Amazon EFS using protocols like SFTP, FTPS, and FTP.
-
D.
easyStorage
easyStorage is a self-storage and related services brand within the easyGroup family of low-cost consumer businesses.
-
E.
WorldRemit
WorldRemit is a digital money transfer service that enables users to send international remittances quickly and securely via web and mobile platforms.
- 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a552bb848190871251474cc208d5 |
completed | April 19, 2026, 9:50 a.m. |
Created at: April 10, 2026, 10:20 a.m.