Triple
T23182455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Square |
E579498
|
entity |
| Predicate | product |
P490
|
FINISHED |
| Object | Square Reader |
E579499
|
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: Square Reader | Statement: [Square, product, Square Reader]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Square Reader Context triple: [Square, product, Square Reader]
-
A.
Square Reader
chosen
Square Reader is a small mobile card reader that lets businesses accept credit and debit card payments through a smartphone or tablet.
-
B.
Schulte
Schulte is a German surname of Middle Low German origin, historically associated with local officials or village leaders.
-
C.
Prime Reading
Prime Reading is a digital reading service that gives eligible Amazon customers access to a rotating selection of ebooks, magazines, comics, and more at no additional cost.
-
D.
the Reader
The Reader is the metafictional protagonist of Italo Calvino’s novel "If on a winter’s night a traveler," serving as a stand-in for the actual reader and blurring the boundary between fiction and reality.
-
E.
The Reading
The Reading is a Neo-Impressionist painting by Belgian artist Théo van Rysselberghe, depicting figures absorbed in quiet literary contemplation through his characteristic pointillist technique.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f705c14819082c8580a03ed6286 |
completed | April 29, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c30b3e07481908a4867997cbc5588 |
completed | May 19, 2026, 9:43 a.m. |
Created at: April 17, 2026, 4:05 p.m.