Triple
T34183376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | عثمان بن عفان |
E876887
|
entity |
| Predicate | الهجرة |
P195
|
FINISHED |
| Object | هاجر إلى الحبشة |
—
|
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: هاجر إلى الحبشة | Statement: [عثمان بن عفان, الهجرة, هاجر إلى الحبشة]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الهجرة Context triple: [عثمان بن عفان, الهجرة, هاجر إلى الحبشة]
-
A.
الوفاة_الهجرية
Indicates the date or occurrence of a person's death according to the Hijri (Islamic) calendar.
-
B.
hasSignificantEmigrationTo
Indicates that a substantial number of people leave one place, group, or entity to move and settle in another specific place, group, or entity.
-
C.
emigratedWith
Indicates that one entity moved from their country or place of origin to settle in another location together with the other entity.
-
D.
immigratedTo
chosen
Indicates that an entity moved from its country of origin to live permanently in another specified country or region.
-
E.
diasporaDueTo
Indicates that a population has dispersed or migrated from its original homeland as a result of a specified cause or event.
- 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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f710075ce48190ad41ebd08e640c1e |
completed | May 3, 2026, 9:06 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:55 a.m.