Triple
T26172793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عبد القادر الجيلاني |
E654453
|
entity |
| Predicate | البلد في حياته العلمية |
P160007
|
FINISHED |
| Object | العراق |
—
|
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: العراق | Statement: [عبد القادر الجيلاني, البلد في حياته العلمية, العراق]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: البلد في حياته العلمية Context triple: [عبد القادر الجيلاني, البلد في حياته العلمية, العراق]
-
A.
أثر_علمي
Indicates a scientific impact or influence that one entity (such as a work, researcher, or discovery) has on another within the scientific or academic domain.
-
B.
منطقة النشاط العلمي
Indicates the area or domain in which a scientific activity or research effort is carried out.
-
C.
fieldOfNotablePublications
Indicates the academic or professional field in which an entity’s notable publications are produced or recognized.
-
D.
hasScientificLegacy
Indicates that an entity has left a lasting, influential impact on scientific knowledge, methods, or practice that continues beyond its original context or time.
-
E.
hasScientificInterestIn
Indicates that one entity holds a scientific curiosity, concern, or research focus directed toward another entity.
- 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_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. |
| PDg | Predicate description generation | batch_69f5f6b32a8881909baa0db57b80d56a |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 26, 2026, 8:36 p.m.