Triple
T26172802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عبد القادر الجيلاني |
E654453
|
entity |
| Predicate | المنطقة الجغرافية للنشاط |
P65106
|
FINISHED |
| Object | بغداد |
—
|
NE NERFINISHED |
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: بغداد | Statement: [عبد القادر الجيلاني, المنطقة الجغرافية للنشاط, بغداد]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المنطقة الجغرافية للنشاط Context triple: [عبد القادر الجيلاني, المنطقة الجغرافية للنشاط, بغداد]
-
A.
area of activity
Indicates the domain, field, or sphere in which an entity is active or carries out its primary functions or operations.
-
B.
منطقة النشاط العلمي
Indicates the area or domain in which a scientific activity or research effort is carried out.
-
C.
регионДеятельности
chosen
Indicates the geographic region or area in which an entity carries out its activities or operations.
-
D.
continentOfActivity
Indicates the continent on which an entity primarily operates, is active, or conducts its main activities.
-
E.
seaOfActivity
Indicates a situation or environment characterized by intense, bustling, and continuous activity.
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60c4485748190aff17798bca51406 |
completed | May 2, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:36 p.m.