Triple
T26756829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صخرة الحمام |
E674693
|
entity |
| Predicate | مادة_تكوّن |
P161200
|
FINISHED |
| Object | صخور رسوبية |
—
|
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: صخور رسوبية | Statement: [صخرة الحمام, مادة_تكوّن, صخور رسوبية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: مادة_تكوّن Context triple: [صخرة الحمام, مادة_تكوّن, صخور رسوبية]
-
A.
materialFormedIn
Indicates that a material is created, produced, or formed within a specified process, environment, or context.
-
B.
materialConcept
Indicates that one entity represents or refers to a material-related concept associated with another entity.
-
C.
مادة البناء
Indicates a relationship where something serves as, or is used as, a construction material in building or structural work.
-
D.
madeWith
Indicates that one entity is created, produced, or constructed using another entity as a material, ingredient, or component.
-
E.
materialUsed
Indicates that one entity is made from, incorporates, or utilizes the other entity as its material or substance.
- F. None of above. chosen
Provenance (4 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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f618d5fdd081908e5cad0c64a2e6c9 |
completed | May 2, 2026, 3:31 p.m. |
| PD | Predicate disambiguation | batch_69f60b8dfa0c8190864e1a940024d0a0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f6106d346c8190868489f36c65b6ec |
completed | May 2, 2026, 2:55 p.m. |
Created at: April 27, 2026, 3:56 a.m.