Triple
T25814032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ten Articles (1536) |
E650199
|
entity |
| Predicate | retainsPracticeOf |
P159519
|
FINISHED |
| Object | use of images with restrictions |
—
|
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: use of images with restrictions | Statement: [Ten Articles (1536), retainsPracticeOf, use of images with restrictions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retainsPracticeOf Context triple: [Ten Articles (1536), retainsPracticeOf, use of images with restrictions]
-
A.
stillPracticedAs
Indicates that a tradition, custom, or practice continues to be actively carried out in a specified place, time, or context.
-
B.
stillPracticedIn
Indicates that a tradition, custom, or practice continues to be actively carried out or observed in a specified place or context.
-
C.
practicedLawIn
Indicates that a person engaged in the professional practice of law within a specified jurisdiction or location.
-
D.
endedPracticeOf
Indicates that one entity caused another entity to stop or discontinue a particular practice or activity.
-
E.
periodOfPractice
Indicates the span of time during which an activity, role, or practice is carried out.
- 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_69e7ab35d264819095367f7e80c983ff |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f600c77d908190bb418cdbc891bd65 |
completed | May 2, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69f4a0fed15881909b789251fe5d8d45 |
completed | May 1, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 7:12 a.m.