Triple
T1289385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isha |
E27509
|
entity |
| Predicate | containsComponent |
P25619
|
FINISHED |
| Object | Qur’an recitation |
—
|
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: Qur’an recitation | Statement: [Isha, containsComponent, Qur’an recitation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsComponent Context triple: [Isha, containsComponent, Qur’an recitation]
-
A.
hasSubcomponent
chosen
Indicates that one entity is a constituent part or component of another, larger entity.
-
B.
isPublicComponentOf
Indicates that one entity is a publicly accessible or externally visible part or module of another, larger entity or system.
-
C.
hasComponentGroup
Indicates that an entity includes or is associated with a specific group of components treated as a single unit.
-
D.
isComponentOfIndex
Indicates that something functions as a specific indexed component or element within a larger structured whole.
-
E.
includesElement
Indicates that one collection, set, or structure contains a specified element as a member or component.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0d4dfb081908c8825d6062b1d99 |
completed | March 1, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69a4bee41ca08190b0ad6f7ea40c0b62 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:51 p.m.