Triple
T32531030
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ta Sin |
E831452
|
entity |
| Predicate | recitationFeature |
P59228
|
FINISHED |
| Object | recited as individual letters |
—
|
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: recited as individual letters | Statement: [Ta Sin, recitationFeature, recited as individual letters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: recitationFeature Context triple: [Ta Sin, recitationFeature, recited as individual letters]
-
A.
recitationObject
Indicates that something is the content or material being recited in a recitation event.
-
B.
recitationConsidered
Indicates that one entity regards or evaluates a particular recitation (such as a spoken or performed rendering of content) in a certain way or with a certain status.
-
C.
recitationCustom
Indicates that one entity performs or delivers a recitation in a customized or non-standard manner for another entity or context.
-
D.
recitationForm
chosen
Indicates the specific manner, style, or format in which something is recited or orally presented.
-
E.
recitationClassification
Indicates how a recitation (such as a spoken or chanted performance) is categorized or classified according to a particular scheme or criteria.
- 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_69f34924b1cc8190ad3aca0c0f012a7e |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c51cafe4819095e91e733b358c90 |
completed | May 3, 2026, 3:46 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1:01 a.m.