Triple
T17560618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PostgreSQL License |
E427686
|
entity |
| Predicate | allowsPatentUse |
P127949
|
FINISHED |
| Object | implicitly, no explicit patent grant |
—
|
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: implicitly, no explicit patent grant | Statement: [PostgreSQL License, allowsPatentUse, implicitly, no explicit patent grant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsPatentUse Context triple: [PostgreSQL License, allowsPatentUse, implicitly, no explicit patent grant]
-
A.
usedPatent
Indicates that one entity has made practical or commercial use of a patent owned or associated with another entity.
-
B.
eligibleUses
Indicates the types of actions, purposes, or contexts in which something is permitted or qualified to be used.
-
C.
allows
Indicates that one entity grants permission, capability, or opportunity for another entity to perform an action or be in a certain state.
-
D.
allowsSublicensing
Indicates that one party grants another the right to further license the same rights to additional third parties.
-
E.
isPatentEncumbered
Indicates that the subject is restricted or burdened by existing patent rights that limit its free use, distribution, or implementation.
- 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_69d889e0385081908a04b66f4dd4bd0d |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e456267e208190a1238fbe1a535bb0 |
completed | April 19, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b4fb39948190a82a597c5bac5c57 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb50b448190a59dd4be33c76db7 |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:50 a.m.