Triple
T32838499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | مفدي زكريا |
E839899
|
entity |
| Predicate | سجن_بسبب |
P175167
|
FINISHED |
| Object | نشاطه الوطني ضد الاستعمار الفرنسي |
—
|
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: نشاطه الوطني ضد الاستعمار الفرنسي | Statement: [مفدي زكريا, سجن_بسبب, نشاطه الوطني ضد الاستعمار الفرنسي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: سجن_بسبب Context triple: [مفدي زكريا, سجن_بسبب, نشاطه الوطني ضد الاستعمار الفرنسي]
-
A.
prisonerOf
Indicates that one entity is held in custody or confinement by another entity, typically under legal or authoritative control.
-
B.
wasImprisonedIn
Indicates that an entity was held in confinement or incarcerated at a particular place or facility.
-
C.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
D.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
-
E.
imprisonedWith
Indicates that two entities are confined or held in prison together at the same time and place.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6cee547108190ad3bc84297d8f516 |
completed | May 3, 2026, 4:28 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
| PDg | Predicate description generation | batch_69f6ce6c76bc8190b865343d3f5810c9 |
completed | May 3, 2026, 4:26 a.m. |
Created at: May 1, 2026, 1:16 a.m.