Triple
T31002902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة فصلت |
E789987
|
entity |
| Predicate | تبدأ بالحروف المقطعة |
P169446
|
FINISHED |
| Object | حم |
—
|
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: حم | Statement: [سورة فصلت, تبدأ بالحروف المقطعة, حم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: تبدأ بالحروف المقطعة Context triple: [سورة فصلت, تبدأ بالحروف المقطعة, حم]
-
A.
beganWith
Indicates that one event, process, or state started with or was initiated by another specified event, process, or state.
-
B.
eachStanzaBeginsWithLetterOf
Indicates that every stanza in a text starts with a specific given letter.
-
C.
mởĐầuBằng
chosen
Indicates that one entity begins or starts with another entity (e.g., a text, sequence, or event opens with a specified element).
-
D.
تفتتح بالنداء
Indicates that an utterance or text begins with a vocative call or address to someone.
-
E.
omittedAtStartOfSurah
Indicates that something (such as a phrase, verse, or formula) is left out or not present at the beginning of a surah.
- 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_69f224c65a348190baaed1c01a29900c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6953bafb88190a860e9c68a3dd4b2 |
completed | May 3, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
Created at: April 29, 2026, 8:57 p.m.