Triple
T18389251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rehman |
E449677
|
entity |
| Predicate | hasAlternativeForm |
P455
|
FINISHED |
| Object | ur-Raḥmān |
—
|
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: ur-Raḥmān | Statement: [Rehman, hasAlternativeForm, ur-Raḥmān]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ur-Raḥmān Context triple: [Rehman, hasAlternativeForm, ur-Raḥmān]
-
A.
Ar-Rahman
chosen
Ar-Rahman is one of the most significant names of God in Islam, emphasizing His boundless and all-encompassing mercy toward all creation.
-
B.
Ar-Rahim
Ar-Rahim is one of the 99 Names of Allah in Islam, signifying God as the Especially Merciful whose compassion is continuously bestowed upon His creation.
-
C.
Allah Rakha Rahman
Allah Rakha Rahman is an acclaimed Indian composer, singer, and music producer renowned worldwide for his innovative film scores and multiple Academy Award-winning soundtracks.
-
D.
Raḥmat
Raḥmat is a month in the Bahá’í Badí‘ calendar associated with the commemoration of the Martyrdom of the Báb.
-
E.
Rahmat
Rahmat is the central character of Rabindranath Tagore’s short story "Kabuliwala," an Afghan fruit seller in Kolkata whose poignant bond with a young girl highlights themes of love, separation, and humanity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9fab8a8819086a9ddc0871715e0 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e51840884c81908e84e9206b4739ee |
completed | April 19, 2026, 6 p.m. |
Created at: April 10, 2026, 10:46 a.m.