Triple
T380667
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | W3C Document License |
E8670
|
entity |
| Predicate | isOpenSourceLicense |
P7052
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [W3C Document License, isOpenSourceLicense, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOpenSourceLicense Context triple: [W3C Document License, isOpenSourceLicense, true]
-
A.
openSource
chosen
Indicates that the subject makes its source code publicly available under a license that allows others to use, modify, and redistribute it.
-
B.
licenseBuiltAs
Indicates that one entity is constructed, configured, or deployed under the terms or identity of another entity’s license.
-
C.
hasCreativeCommonsLicensedWorks
Indicates that an entity possesses or is associated with works that are licensed under a Creative Commons license.
-
D.
isOpenTo
Indicates that one entity is receptive, willing, or available to consider, accept, or engage with another entity or proposal.
-
E.
licenseFamily
Indicates that one license belongs to, is derived from, or is categorized under a broader family or class of related licenses.
- 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2c95088190a603bb1ee076ebd6 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e964d4b481909290e474b0341e3c |
completed | Feb. 28, 2026, 1:11 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.