Triple
T7042551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zeyrek Mosque and its associated conservation area |
E163546
|
entity |
| Predicate | mainBuildingCurrentFunction |
P74706
|
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: [Zeyrek Mosque and its associated conservation area, mainBuildingCurrentFunction, mosque]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mainBuildingCurrentFunction Context triple: [Zeyrek Mosque and its associated conservation area, mainBuildingCurrentFunction, mosque]
-
A.
currentFunction
Indicates that an entity is presently serving in a specific role, position, or capacity.
-
B.
currentBuilding
Indicates that an entity is located in, associated with, or belongs to the building that is relevant in the current context.
-
C.
mainCurrentAct
Indicates that an entity is currently performing or engaged in its primary or most important action or activity.
-
D.
mainBuildingName
Indicates the name that is designated as the primary or main building associated with an entity.
-
E.
mainFunctions
Indicates that the subject serves as the primary or central functional component or role for the object.
- 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_69c6885e7c1c8190be32a8f79ab4e0cf |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e4a3c36c819080942c59f1830ae8 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bb602081908bfa6186a1f5a4b4 |
completed | March 27, 2026, 7:59 p.m. |
| PDg | Predicate description generation | batch_69c6e4a15b088190bee9a23e94aaac53 |
completed | March 27, 2026, 8:12 p.m. |
Created at: March 27, 2026, 2:36 p.m.