Triple
T575275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apache License 2.0 |
E13748
|
entity |
| Predicate | FSFApproved |
P16203
|
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: [Apache License 2.0, FSFApproved, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FSFApproved Context triple: [Apache License 2.0, FSFApproved, true]
-
A.
isCopyleft
Indicates that the subject is governed by a copyleft license, requiring derivative works to be distributed under the same or compatible licensing terms.
-
B.
openSource
Indicates that the subject makes its source code publicly available under a license that allows others to use, modify, and redistribute it.
-
C.
freeEdition
Indicates that something is provided as a version that can be used without payment or licensing fees.
-
D.
usesSoftware
Indicates that one entity employs or operates a particular software application or system to perform tasks or functions.
-
E.
licenseBuiltAs
Indicates that one entity is constructed, configured, or deployed under the terms or identity of another entity’s license.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b67395c8190a8046ff7debe9d1f |
completed | March 1, 2026, 8:02 p.m. |
| PD | Predicate disambiguation | batch_69a494c4969c819080375d08f9eec50c |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a498dd579081908e02368a4c5efc8c |
completed | March 1, 2026, 7:51 p.m. |
Created at: March 1, 2026, 7:33 p.m.