Triple
T17790926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cerrah Pasha Mosque |
E444156
|
entity |
| Predicate | hasWaqf |
P128932
|
FINISHED |
| Object | religious endowment for maintenance and services |
—
|
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: religious endowment for maintenance and services | Statement: [Cerrah Pasha Mosque, hasWaqf, religious endowment for maintenance and services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWaqf Context triple: [Cerrah Pasha Mosque, hasWaqf, religious endowment for maintenance and services]
-
A.
hasMosque
Indicates that one entity possesses, contains, or is the location of a mosque.
-
B.
hasImam
Indicates that an entity is associated with, led by, or served by a particular imam in a religious or community context.
-
C.
hasAwa
Indicates a relationship where one entity possesses, contains, or is associated with another entity referred to as "Awa."
-
D.
hasWaka
Indicates that an entity possesses, contains, or is associated with a waka (such as a traditional canoe, vessel, or similarly defined object).
-
E.
hasWorshipSpaceFeature
Indicates that a worship space possesses or includes a particular feature, characteristic, or facility.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48797408081908c48d98e1525ae87 |
completed | April 19, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69e3d8d8e538819084f1584426b41d5e |
completed | April 18, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69e3db7704588190a34a422421152173 |
completed | April 18, 2026, 7:28 p.m. |
Created at: April 10, 2026, 10:13 a.m.