Triple
T31012558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namirah Mosque |
E790244
|
entity |
| Predicate | primarySermonLanguage |
P87892
|
FINISHED |
| Object | Arabic |
—
|
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: Arabic | Statement: [Namirah Mosque, primarySermonLanguage, Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primarySermonLanguage Context triple: [Namirah Mosque, primarySermonLanguage, Arabic]
-
A.
languageOfSermon
chosen
Indicates the language in which a sermon is delivered or composed.
-
B.
languageOfWorship
Indicates the language in which religious worship, rituals, or liturgical practices are conducted.
-
C.
secondaryLanguageInLiturgy
Indicates that a particular language is used as a secondary (non-primary) language within a liturgical or worship context.
-
D.
primaryLanguageOfEvangelization
Indicates the language primarily used to communicate and spread religious teachings or evangelistic messages to a target audience.
-
E.
primaryLanguageOf
Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
- 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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a035b78140081908e451cb63d3c1c7c |
completed | May 12, 2026, 4:55 p.m. |
| PD | Predicate disambiguation | batch_6a035af3d8f48190bf1f3741d374404e |
completed | May 12, 2026, 4:53 p.m. |
Created at: April 29, 2026, 8:57 p.m.