Triple
T12428949
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | النَّازِعَات |
E296971
|
entity |
| Predicate | مذكورة في |
P89069
|
FINISHED |
| Object | المصحف العثماني |
—
|
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: المصحف العثماني | Statement: [النَّازِعَات, مذكورة في, المصحف العثماني]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مذكورة في Context triple: [النَّازِعَات, مذكورة في, المصحف العثماني]
-
A.
ذُكر_في
chosen
Indicates that an entity is mentioned or referenced within another entity, such as a text, document, or source.
-
B.
mentionedInInscription
Indicates that an entity is referenced or named within a specific inscription or inscribed text.
-
C.
mentionedAs
Indicates that one entity is referred to or cited by name or description in the context of another entity.
-
D.
mentionedWith
Indicates that two entities are mentioned together or in close association within the same context, such as a document, sentence, or conversation.
-
E.
includedInBook
Indicates that something (such as a section, chapter, or content item) is contained within or forms part of a specific book.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.