Triple
T36427477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سورة الحجرات |
E897340
|
entity |
| Predicate | مكية أو مدنية |
P98293
|
FINISHED |
| Object | مدنية بإجماع جمهور العلماء |
—
|
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: مدنية بإجماع جمهور العلماء | Statement: [سورة الحجرات, مكية أو مدنية, مدنية بإجماع جمهور العلماء]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مكية أو مدنية Context triple: [سورة الحجرات, مكية أو مدنية, مدنية بإجماع جمهور العلماء]
-
A.
مكية أم مدنية
Indicates whether a Quranic surah or verse was revealed in Mecca (Makki) or in Medina (Madani).
-
B.
caliphateCapital
Indicates that one entity serves as the capital city or administrative center of a particular caliphate.
-
C.
isMakkiOrMadani
chosen
Indicates whether a given Quranic chapter or verse is classified as Makki (revealed in Mecca) or Madani (revealed in Medina).
-
D.
roleInMecca
Indicates that an entity holds or performs a specific role, function, or position in the context of Mecca.
-
E.
caliphateType
Indicates the specific form or classification of a caliphate associated with an entity.
- 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_69f76e559b10819099d6655a6e14587c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.