Triple
T38217838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | صولة الفرسان |
E1010732
|
entity |
| Predicate | نوع الكيان |
P156869
|
FINISHED |
| Object | اسم غير فريد يمكن أن تحمله عدة أعمال مختلفة |
—
|
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: اسم غير فريد يمكن أن تحمله عدة أعمال مختلفة | Statement: [صولة الفرسان, نوع الكيان, اسم غير فريد يمكن أن تحمله عدة أعمال مختلفة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نوع الكيان Context triple: [صولة الفرسان, نوع الكيان, اسم غير فريد يمكن أن تحمله عدة أعمال مختلفة]
-
A.
tipoDeOrganismo
Indicates that one entity is classified as a specific type or category of organism in relation to another.
-
B.
typeOfAutonomousEntity
Indicates that one entity is classified as a specific kind or category of autonomous entity in relation to another.
-
C.
natureOfEntity
chosen
Indicates the fundamental type, character, or defining qualities that constitute what an entity essentially is.
-
D.
organismType
Indicates the biological classification or kind of organism that an entity is.
-
E.
speciesType
Indicates the specific biological species category to which an entity belongs.
- 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.