Triple
T1473954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic music |
E27195
|
entity |
| Predicate | hasModernDevelopment |
P13185
|
FINISHED |
| Object | recorded nasheed industry |
—
|
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: recorded nasheed industry | Statement: [Islamic music, hasModernDevelopment, recorded nasheed industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasModernDevelopment Context triple: [Islamic music, hasModernDevelopment, recorded nasheed industry]
-
A.
hasDevelopmentType
Indicates the type or category of development associated with an entity, such as the nature, form, or stage of its development.
-
B.
hasDevelopmentSystem
Indicates that one entity possesses, uses, or is associated with a particular system, platform, or environment used for development activities.
-
C.
hasModernInstitution
Indicates that an entity possesses, hosts, or is associated with a contemporary institution or organization.
-
D.
hasModernEditions
Indicates that an original work or text has one or more updated or contemporary published editions.
-
E.
laterDevelopments
chosen
Indicates that subsequent events, changes, or outcomes occurred following an earlier situation or state.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5ff8dbc81909eafcfc9f2260a22 |
completed | March 1, 2026, 11:04 p.m. |
| PD | Predicate disambiguation | batch_69a4c48350d88190a81bd149103f93e3 |
completed | March 1, 2026, 10:58 p.m. |
Created at: March 1, 2026, 8:01 p.m.