Triple
T18199603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Masjid Mubarak, Rabwah |
E435747
|
entity |
| Predicate | languageOfSermons |
P87892
|
FINISHED |
| Object | Urdu |
—
|
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: Urdu | Statement: [Masjid Mubarak, Rabwah, languageOfSermons, Urdu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfSermons Context triple: [Masjid Mubarak, Rabwah, languageOfSermons, Urdu]
-
A.
languageOfSermon
chosen
Indicates the language in which a sermon is delivered or composed.
-
B.
languageOfGospelTraditionally
Indicates the language in which a particular Gospel is traditionally believed or held to have been written or transmitted.
-
C.
languageOfCreeds
Indicates the language in which formal creeds, confessions, or doctrinal statements are expressed or officially formulated.
-
D.
languageOfWorship
Indicates the language in which religious worship, rituals, or liturgical practices are conducted.
-
E.
devotionalLanguageType
Indicates the type or category of language used in a devotional or religious context.
- 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_69d8b90dba6481908e119eb9aa4ca0cb |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d545f4819090285d1446bd3c27 |
completed | April 19, 2026, 2:04 p.m. |
| PD | Predicate disambiguation | batch_69e4331e92408190ad607ba4956a3897 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.