Triple
T12383710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bismillāh ir-Raḥmān ir-Raḥīm |
E295806
|
entity |
| Predicate | appearsAtBeginningOf |
P1037
|
FINISHED |
| Object | most chapters of the Qur’an |
—
|
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: most chapters of the Qur’an | Statement: [Bismillāh ir-Raḥmān ir-Raḥīm, appearsAtBeginningOf, most chapters of the Qur’an]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appearsAtBeginningOf Context triple: [Bismillāh ir-Raḥmān ir-Raḥīm, appearsAtBeginningOf, most chapters of the Qur’an]
-
A.
beganWith
Indicates that one event, process, or state started with or was initiated by another specified event, process, or state.
-
B.
appearsBefore
Indicates that one entity occurs, is positioned, or is presented earlier in an ordered sequence than another entity.
-
C.
preambleBeginsWith
chosen
Indicates that the preamble of a document or text starts with a specified substring, phrase, or content.
-
D.
startsAt
Indicates that an event, process, or state begins at a specific time, location, or point in a sequence.
-
E.
firstAppearsAtLocation
Indicates the initial location where an entity is first observed, introduced, or comes into existence within a given context or sequence.
- 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_69d6ad9e653c8190b1473c860ee53dae |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d93fbc3f608190b0ee3c4f304a94db |
completed | April 10, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69d93ed256788190b704cad171a4824e |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:54 p.m.