Triple
T15116036
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karlu Karlu |
E361040
|
entity |
| Predicate | hasRestrictions |
P90727
|
FINISHED |
| Object | cultural access restrictions in some areas |
—
|
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: cultural access restrictions in some areas | Statement: [Karlu Karlu, hasRestrictions, cultural access restrictions in some areas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRestrictions Context triple: [Karlu Karlu, hasRestrictions, cultural access restrictions in some areas]
-
A.
mayHaveRestriction
chosen
Indicates that an entity can be subject to one or more limitations, conditions, or constraints, though such restrictions are not necessarily present.
-
B.
hadRestrictionsOn
Indicates that one entity imposed or was subject to specific limitations, rules, or constraints regarding another entity or activity.
-
C.
hasMarketingRestrictions
Indicates that there are specific limitations or conditions imposed on how something may be marketed or promoted.
-
D.
hasAwardRestriction
Indicates that there is a limitation, condition, or constraint placed on receiving or granting an award.
-
E.
hasSemanticRestriction
Indicates that a concept or relation is constrained in meaning or usage by specific semantic conditions or limitations.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058f4fb88190a3d446a466aebcf1 |
completed | April 15, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69deb96c1d9c81909351558ed97bc5b7 |
completed | April 14, 2026, 10:02 p.m. |
Created at: April 10, 2026, 3:05 a.m.