Triple
T28628482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Portuguese Wikibooks |
E724581
|
entity |
| Predicate | licenseAllows |
P168110
|
FINISHED |
| Object | copying |
—
|
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: copying | Statement: [Portuguese Wikibooks, licenseAllows, copying]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: licenseAllows Context triple: [Portuguese Wikibooks, licenseAllows, copying]
-
A.
licenseUsed
Indicates that a particular license has been applied to or is being utilized for a specific resource, activity, or entity.
-
B.
licenseFor
Indicates that one entity grants or holds formal permission or authorization for another entity to perform an activity, use a resource, or operate under specified conditions.
-
C.
licenseBuiltIn
Indicates that a license is inherently included within or comes standard as part of another product, service, or system rather than being added separately.
-
D.
licenseStatus
Indicates the current state or condition of a license in relation to its validity, permissions, or compliance.
-
E.
licenceBuiltIn
Indicates that a licence is inherently included within or comes pre-installed as part of another product, system, or component rather than being added separately.
- 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_69f01d822ac08190932de59ec2268ed2 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec5bf508190ad088b89455252bd |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 28, 2026, 4:37 a.m.