Triple
T36001976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سدرة المنتهى |
E1041156
|
entity |
| Predicate | لغةً |
P4185
|
FINISHED |
| Object | منتهى السدر |
—
|
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: منتهى السدر | Statement: [سدرة المنتهى, لغةً, منتهى السدر]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: لغةً Context triple: [سدرة المنتهى, لغةً, منتهى السدر]
-
A.
لغة السورة
Indicates the language in which a given surah (chapter of the Qur’an) is expressed or written.
-
B.
isLanguageOf
chosen
Indicates that a particular language is used as the official or primary language associated with a given entity (such as a person, document, or region).
-
C.
мова
Indicates that an entity uses, is expressed in, or is associated with a particular language.
-
D.
partOfLanguage
Indicates that one linguistic element belongs to, is included within, or is a component of a particular language.
-
E.
languageAttestedIn
Indicates that evidence exists showing the use or presence of a particular language in a specified place, time, or context.
- 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_69f76e2a02208190aedd1f9025a8b300 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7acaec1508190a38f2ac9cc5383e7 |
completed | May 3, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69f7ab75387c819091afc3c2128eb903 |
completed | May 3, 2026, 8:09 p.m. |
Created at: May 3, 2026, 4:07 p.m.