Triple
T34754659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عِلِّيِّينَ |
E1001883
|
entity |
| Predicate | يوصف_بأنه |
P21265
|
FINISHED |
| Object | كتاب مرقوم |
—
|
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: كتاب مرقوم | Statement: [عِلِّيِّينَ, يوصف_بأنه, كتاب مرقوم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يوصف_بأنه Context triple: [عِلِّيِّينَ, يوصف_بأنه, كتاب مرقوم]
-
A.
وصفه
Indicates that one entity describes, characterizes, or portrays another entity.
-
B.
describes
Indicates that one entity provides an explanation, representation, or account of another entity or concept.
-
C.
describedThrough
Indicates that something is explained, represented, or conveyed by means of a particular medium, method, or description.
-
D.
isFrequentlyDescribedAs
chosen
Indicates that something is often characterized or referred to using a particular description or set of attributes.
-
E.
describedFrom
Indicates that something is characterized, explained, or defined based on information, perspective, or features originating from a particular source or reference point.
- 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_69f76db0fb30819096709d43f9a1f45f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f77ffa6b68819090257fed3802c239 |
completed | May 3, 2026, 5:03 p.m. |
| PD | Predicate disambiguation | batch_69f7795978c481909e152cd1bd02dd07 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.