Triple
T25020440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zafar Khan Muzaffar |
E626554
|
entity |
| Predicate | languageOfReligion |
P168018
|
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: [Zafar Khan Muzaffar, languageOfReligion, Arabic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfReligion Context triple: [Zafar Khan Muzaffar, languageOfReligion, Arabic]
-
A.
languageOfReligiousLife
Indicates the language primarily used in the religious practices, rituals, or spiritual life associated with an entity.
-
B.
languageOfCreeds
Indicates the language in which formal creeds, confessions, or doctrinal statements are expressed or officially formulated.
-
C.
religiousTextLanguageOf
Indicates that a particular language is the language in which a given religious text is written or primarily expressed.
-
D.
languageOfWorship
Indicates the language in which religious worship, rituals, or liturgical practices are conducted.
-
E.
languageOfScripturalTradition
Indicates the language in which a given scriptural or religious textual tradition is expressed or transmitted.
- 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_69e2ff28ee3881909c626af002457a4a |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 18, 2026, 6:06 a.m.