Triple
T88876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thomas Alva Edison |
E1785
|
entity |
| Predicate | numberOfPatents |
P3854
|
FINISHED |
| Object | over 1,000 U.S. patents |
—
|
LITERAL 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: over 1,000 U.S. patents | Statement: [Thomas Alva Edison, numberOfPatents, over 1,000 U.S. patents]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPatents Context triple: [Thomas Alva Edison, numberOfPatents, over 1,000 U.S. patents]
-
A.
typeOfPatentsGranted
Indicates the specific categories or kinds of patents that have been officially granted to an entity.
-
B.
patent
Indicates that a legal protection has been granted to an entity for an invention, giving it exclusive rights to make, use, or sell that invention.
-
C.
patentHolder
Indicates that one entity legally owns the rights granted by a specific patent associated with another entity or invention.
-
D.
patentDate
Indicates the date on which a patent was officially granted or registered.
-
E.
coInventorWith
Indicates that two or more entities jointly invented or created the same invention.
- F. None of above. chosen
Provenance (4 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a24feef1b08190bb9525f71cce053e |
completed | Feb. 28, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69a24eb82d408190b0f9c786152e8e4c |
completed | Feb. 28, 2026, 2:11 a.m. |
| PDg | Predicate description generation | batch_69a24fed6b8c819080a6c0cd3b16e6bd |
completed | Feb. 28, 2026, 2:16 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.