Triple
T35735913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veysel Karani Mosque |
E1032885
|
entity |
| Predicate | dedicationReligion |
P81931
|
FINISHED |
| Object | Islam |
—
|
NE NERFINISHED |
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: Islam | Statement: [Veysel Karani Mosque, dedicationReligion, Islam]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dedicationReligion Context triple: [Veysel Karani Mosque, dedicationReligion, Islam]
-
A.
devotionPracticedBy
Indicates that a particular form of devotion, worship, or religious practice is performed or carried out by a specified agent or practitioner.
-
B.
isDevotedTo
Indicates a strong, enduring commitment or dedication that one entity directs toward another.
-
C.
evidenceOfDevotion
Indicates that one entity serves as proof or demonstration of another entity’s devotion or commitment.
-
D.
religiousElement
Indicates that something is a component, aspect, or feature associated with a religion or religious practice.
-
E.
religiousBuildingDedicatedTo
chosen
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_69f76e10e59081908d81ad9ce22f40b6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b0e5744c8190a22c1e1d6fcfa466 |
completed | May 3, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69f7ab70d034819080295628497d8582 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:05 p.m.