Triple
T18837361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoshang Shah |
E460697
|
entity |
| Predicate | associatedReligionArchitecture |
P106589
|
FINISHED |
| Object | mosques |
—
|
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: mosques | Statement: [Hoshang Shah, associatedReligionArchitecture, mosques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedReligionArchitecture Context triple: [Hoshang Shah, associatedReligionArchitecture, mosques]
-
A.
associatedReligionBuilding
chosen
Indicates that there is a relationship between a religion and a specific building that is connected to, used by, or significant for that religion.
-
B.
inReligiousStructure
Indicates that one entity is located within or inside a building or structure used for religious purposes.
-
C.
religionAtConstruction
Indicates the religion or religious tradition associated with something at the time it was constructed.
-
D.
religiousBuildingDesigned
Indicates that one entity (typically an architect or designer) is responsible for designing a religious building associated with the other entity.
-
E.
religiousBuildingDedicatedTo
Indicates that a religious building is formally dedicated or consecrated to a particular deity, figure, or religious concept.
- 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_69d8dcfa11e4819090ab1ef5bdcd2b2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99e86388190957acaaab401b5cb |
completed | April 20, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69e48d1e7dac81909ea1e758c87773c5 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:56 a.m.