Triple
T27851160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shapeware Corporation |
E703954
|
entity |
| Predicate | productLaterKnownAs |
P68192
|
FINISHED |
| Object | Microsoft Visio |
—
|
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: Microsoft Visio | Statement: [Shapeware Corporation, productLaterKnownAs, Microsoft Visio]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productLaterKnownAs Context triple: [Shapeware Corporation, productLaterKnownAs, Microsoft Visio]
-
A.
productRenamedAs
chosen
Indicates that a product previously known by one name is now identified or marketed under a new name.
-
B.
laterProductType
Indicates that one product type occurs or is introduced after another product type in time or sequence.
-
C.
successorOrRelatedProduct
Indicates that one product is a successor to, replacement for, or closely related evolution of another product.
-
D.
vendorProductOf
Indicates that a product is offered or supplied by a particular vendor.
-
E.
formerProduct
Indicates that an entity was previously a product of another entity but is no longer in that role or status.
- F. None of above.
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_69ef840e614c8190a88cf9638c14a265 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f78c61ed4c8190ad84c918fa9af55a |
completed | May 3, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69f78b8cb3a881909ebaac1b503988c2 |
completed | May 3, 2026, 5:53 p.m. |
Created at: April 27, 2026, 6:11 p.m.