Triple
T33325771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kufa school of Quranic recitation |
E853258
|
entity |
| Predicate | producedCanonicalReading |
P196511
|
FINISHED |
| Object | Qira’at of Asim |
—
|
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: Qira’at of Asim | Statement: [Kufa school of Quranic recitation, producedCanonicalReading, Qira’at of Asim]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: producedCanonicalReading Context triple: [Kufa school of Quranic recitation, producedCanonicalReading, Qira’at of Asim]
-
A.
canonicalReading
Indicates that one representation of a text or expression is the standard or authoritative version used for reading or interpretation of another.
-
B.
hasCanonicalWritings
Indicates that an entity is associated with a recognized, authoritative set of writings considered standard or canonical for it.
-
C.
canonicalText
Indicates that a standardized, authoritative textual representation is associated with an entity or expression.
-
D.
hasKanjiReading
Indicates that a written kanji character is associated with a specific reading or pronunciation.
-
E.
hasMandarinReading
Indicates that an entity is associated with a specific reading or pronunciation in Mandarin Chinese.
- 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_69f349685f088190b8fda44083a018a9 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fe59d11e9881909d2f33b7c717030e |
completed | May 8, 2026, 9:46 p.m. |
| PD | Predicate disambiguation | batch_69fe394fdfbc8190a931926ae3635cbf |
completed | May 8, 2026, 7:28 p.m. |
| PDg | Predicate description generation | batch_69fe59d03a648190bbe846cb5730a477 |
completed | May 8, 2026, 9:46 p.m. |
Created at: May 1, 2026, 1:33 a.m.