Triple
T14930894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache License 1.0 |
E372260
|
entity |
| Predicate | includesTrademarkClause |
P116713
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Apache License 1.0, includesTrademarkClause, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: includesTrademarkClause Context triple: [Apache License 1.0, includesTrademarkClause, yes]
-
A.
trademark
Indicates that one entity legally owns and uses a distinctive sign, name, or symbol to identify and distinguish its goods or services from those of others.
-
B.
hostTrademark
Indicates that one entity serves as the host or platform on which another entity’s trademark is presented, displayed, or made available.
-
C.
hasNoTrademarkGrant
Indicates that no legal rights or permissions have been granted to use a trademark in connection with the referenced entity or activity.
-
D.
trademarkAction
Indicates an action or legal event taken regarding a trademark, such as filing, registering, transferring, enforcing, or challenging trademark rights.
-
E.
trademarkOwner
Indicates that one entity legally owns and holds the rights to a particular trademark associated with another entity or product.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| PD | Predicate disambiguation | batch_69de9a52ba988190a26e268b4ea083ea |
completed | April 14, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69deb1a4d8dc8190a4c0841c20f2875f |
completed | April 14, 2026, 9:29 p.m. |
Created at: April 10, 2026, 2:36 a.m.