Triple
T7654423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | al-Mardawi |
E173340
|
entity |
| Predicate | citationFrequency |
P13420
|
FINISHED |
| Object | frequently cited by later Hanbali scholars |
—
|
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: frequently cited by later Hanbali scholars | Statement: [al-Mardawi, citationFrequency, frequently cited by later Hanbali scholars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: citationFrequency Context triple: [al-Mardawi, citationFrequency, frequently cited by later Hanbali scholars]
-
A.
citationNumber
Indicates the specific numeric identifier assigned to a citation within a document or reference list.
-
B.
citationIndexedIn
Indicates that a citation is recorded, tracked, or listed within a particular index, database, or catalog.
-
C.
hasCitationImpact
chosen
Indicates that one entity (such as a publication, author, or venue) exerts measurable influence on scholarly work through citations it receives or generates.
-
D.
citesAs
Indicates that one entity references or acknowledges another as a source of information, authority, or evidence.
-
E.
citationSystem
Indicates a relationship where one entity specifies or uses a particular system, style, or standard for formatting and managing citations.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7061cbc3c8190a917dd7e71214182 |
completed | March 27, 2026, 10:35 p.m. |
| PD | Predicate disambiguation | batch_69c7015dd8fc8190bc5f52a12bd46209 |
completed | March 27, 2026, 10:14 p.m. |
Created at: March 27, 2026, 3:59 p.m.