Triple
T7348689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seljuk art |
E169439
|
entity |
| Predicate | notableBuildingType |
P1844
|
FINISHED |
| Object | mosque |
—
|
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: mosque | Statement: [Seljuk art, notableBuildingType, mosque]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableBuildingType Context triple: [Seljuk art, notableBuildingType, mosque]
-
A.
buildingNamed
Indicates that a particular building is known or referred to by a specified name.
-
B.
buildingType
chosen
Indicates the specific category or function that characterizes what kind of building something is.
-
C.
notableConstructionCenter
Indicates that a place serves as a significant hub or focal point for construction activity or construction-related operations.
-
D.
monumentType
Indicates the specific kind or category of monument that an entity is classified as.
-
E.
notableBuildingAssociated
Indicates a relationship where a notable or significant building is associated with, connected to, or relevant to a given entity.
- 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69c6f02aeeb8819099d1626566cec18b |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:05 p.m.