Triple
T29364677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bezm-i Alem Valide Sultan Mosque |
E744682
|
entity |
| Predicate | hasOrnamentationStyle |
P19073
|
FINISHED |
| Object | European-influenced decoration |
—
|
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: European-influenced decoration | Statement: [Bezm-i Alem Valide Sultan Mosque, hasOrnamentationStyle, European-influenced decoration]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOrnamentationStyle Context triple: [Bezm-i Alem Valide Sultan Mosque, hasOrnamentationStyle, European-influenced decoration]
-
A.
hasOrnamentation
chosen
Indicates that an entity possesses decorative features or embellishments applied to its surface or structure.
-
B.
allowsOrnamentation
Indicates that one entity permits or enables decorative additions or embellishments to be applied to another entity.
-
C.
ornamentationStyle
Indicates the decorative design or stylistic approach applied as ornamentation to an entity.
-
D.
hasRhythmicStyle
Indicates that one entity exhibits or is characterized by a particular rhythmic pattern or style in its expression or behavior.
-
E.
hasOrchestraType
Indicates that an entity is associated with, or classified by, a specific type or category of orchestra.
- 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_69f0a79aee588190b490f19d93c6e52d |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 28, 2026, 2:21 p.m.