Triple
T29504450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Patent Act of 1790 |
E748470
|
entity |
| Predicate | maximumPatentTerm |
P165333
|
FINISHED |
| Object | 14 years |
—
|
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: 14 years | Statement: [Patent Act of 1790, maximumPatentTerm, 14 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maximumPatentTerm Context triple: [Patent Act of 1790, maximumPatentTerm, 14 years]
-
A.
maximumAppropriationTerm
Indicates the longest allowable duration or term for which an appropriation or allocated funds may legally remain available or in effect.
-
B.
maximumPeriod
chosen
Indicates that there is an upper bound on the duration or time interval for which a given condition, state, or relationship can hold.
-
C.
minimumCopyrightTerm
Indicates the legally mandated shortest duration for which copyright protection must be granted.
-
D.
maximumTermCount
Indicates the highest number of terms that are allowed or considered within a given context or operation.
-
E.
maximumConsecutiveTerms
Indicates the greatest number of terms that can occur in an unbroken, continuous sequence within a given context or structure.
- 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_69f0bd455a9c8190b40a3e8ea38cf61f |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f7308a096081909d66a56f3c926806 |
completed | May 3, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69f72a00c5f081908b6539d15baf4e12 |
completed | May 3, 2026, 10:57 a.m. |
Created at: April 28, 2026, 4:26 p.m.