Triple
T21575793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tawaf |
E532389
|
entity |
| Predicate | meaningInArabic |
P144322
|
FINISHED |
| Object | circling |
—
|
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: circling | Statement: [Tawaf, meaningInArabic, circling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meaningInArabic Context triple: [Tawaf, meaningInArabic, circling]
-
A.
meaningInArabicRelatedForm
Indicates that one entity expresses the meaning of another entity in Arabic through a related or derived linguistic form.
-
B.
duMeaning
Indicates that one entity expresses, conveys, or signifies a particular meaning or sense in relation to another.
-
C.
tegMeaning
Indicates that one entity expresses, conveys, or stands for the meaning or semantic content of another entity.
-
D.
meaningInGerman
Indicates that one entity expresses the meaning or translation of another entity in the German language.
-
E.
textMeaning
Indicates that one text expresses, conveys, or corresponds to a particular meaning or semantic content.
- 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_69e0c4618bec8190bcb0feb74568cbb1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9d07ddc8190a4bba08223e56f46 |
completed | April 27, 2026, 4:45 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e633bf34c481909925d8dc1a633a65 |
completed | April 20, 2026, 2:10 p.m. |
Created at: April 16, 2026, 6:30 p.m.