Triple
T33689451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | نادي هبوعيل بئر السبع |
E863135
|
entity |
| Predicate | الاحتراف |
P175492
|
FINISHED |
| Object | نادي محترف |
—
|
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: نادي محترف | Statement: [نادي هبوعيل بئر السبع, الاحتراف, نادي محترف]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الاحتراف Context triple: [نادي هبوعيل بئر السبع, الاحتراف, نادي محترف]
-
A.
مجال الشهرة
Indicates the domain or field in which an entity is renowned or widely recognized.
-
B.
winnerProfession
Indicates that the associated profession is the occupation or field of work of the winner in a given event or competition.
-
C.
elite
Indicates that the subject belongs to a select, superior, or highly privileged subset within a larger group or category.
-
D.
professionalOrSemiProfessional
chosen
Indicates that one entity engages in an activity or role at a professional or semi-professional level, typically involving formal skill, training, or compensation.
-
E.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
- 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_69f3498662b48190904442c39df84fb7 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6fa67cd908190a1784bd212fe3749 |
completed | May 3, 2026, 7:34 a.m. |
| PD | Predicate disambiguation | batch_69f6f96dd4c8819093d6a7bd046a9ad5 |
completed | May 3, 2026, 7:29 a.m. |
Created at: May 1, 2026, 1:43 a.m.