Triple
T20669443
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selimiye Mosque in Edirne |
E507979
|
entity |
| Predicate | minaretDescription |
P53930
|
FINISHED |
| Object | slender minarets with three balconies each |
—
|
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: slender minarets with three balconies each | Statement: [Selimiye Mosque in Edirne, minaretDescription, slender minarets with three balconies each]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: minaretDescription Context triple: [Selimiye Mosque in Edirne, minaretDescription, slender minarets with three balconies each]
-
A.
minaretBuiltBy
Indicates that a minaret was constructed by a particular agent, such as a person, group, or organization.
-
B.
minaretShape
chosen
Indicates that one entity has the specified architectural shape or form of a minaret in relation to another entity.
-
C.
minaretSymbolism
Indicates the symbolic or representational meaning associated with a minaret in a given cultural, religious, or architectural context.
-
D.
minaretAdded
Indicates that a minaret has been constructed and incorporated into an existing structure or site.
-
E.
minaretCondition
Indicates the physical state, integrity, or preservation status of a minaret in relation to a specified point in time or event.
- 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_69e0b4c059bc81908ea762cd73ea4424 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b5c60a2481908ae3764bc12454e0 |
completed | April 20, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69e5c03caee881908be4dd25796a03d5 |
completed | April 20, 2026, 5:57 a.m. |
Created at: April 16, 2026, 11:44 a.m.