Triple
T24544492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | المروة |
E607182
|
entity |
| Predicate | نوع_الاشتقاق |
P12825
|
FINISHED |
| Object | منقول عن علم جغرافي (جبل المروة) |
—
|
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: منقول عن علم جغرافي (جبل المروة) | Statement: [المروة, نوع_الاشتقاق, منقول عن علم جغرافي (جبل المروة)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نوع_الاشتقاق Context triple: [المروة, نوع_الاشتقاق, منقول عن علم جغرافي (جبل المروة)]
-
A.
derivationType
chosen
Indicates the specific manner or process by which one entity is derived or obtained from another.
-
B.
derivativesType
Indicates the specific kind or category of derivative relationship that exists between two related entities.
-
C.
derivativeDesignation
Indicates that one entity is formally identified as a derivative or adapted version of another entity.
-
D.
differential
Indicates a relationship where one quantity or state is defined as the infinitesimal change or difference relative to another variable or function.
-
E.
differentiatedFrom
Indicates that one entity is distinguished or set apart from another by identifying differences between them.
- 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_69e2c4c9bf94819082d05da6f5c29907 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b0ca8081908d931aec560eae56 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:26 a.m.