Triple
T3963804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isra |
E85966
|
entity |
| Predicate | linkedPractice |
P53633
|
FINISHED |
| Object | emphasis on daily prayers (salat) |
—
|
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: emphasis on daily prayers (salat) | Statement: [Isra, linkedPractice, emphasis on daily prayers (salat)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: linkedPractice Context triple: [Isra, linkedPractice, emphasis on daily prayers (salat)]
-
A.
linkedProgram
Indicates that one program is associated or connected to another program in a meaningful or dependent way.
-
B.
linkedNetwork
Indicates that two entities are connected through a shared or associated network relationship.
-
C.
linkedPosition
Indicates that one position is associated or connected to another position in a defined way.
-
D.
linkedDocument
Indicates that one document is associated with or references another document in a meaningful way.
-
E.
linkType
Indicates the specific kind or category of relationship that connects two linked entities.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefba878a48190a2e234d775215938 |
completed | March 9, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69aef8efcf3c81908ccf61d9ce26b0c0 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefba6b9848190a7b0fb66100a2a0c |
completed | March 9, 2026, 4:56 p.m. |
Created at: March 9, 2026, 3:31 p.m.