Triple
T32838467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | النشيد الوطني الجزائري |
E839898
|
entity |
| Predicate | الكتابة |
P17540
|
FINISHED |
| Object | كتب في السجن من قبل مفدي زكريا |
—
|
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: كتب في السجن من قبل مفدي زكريا | Statement: [النشيد الوطني الجزائري, الكتابة, كتب في السجن من قبل مفدي زكريا]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الكتابة Context triple: [النشيد الوطني الجزائري, الكتابة, كتب في السجن من قبل مفدي زكريا]
-
A.
fieldOfWriting
Indicates that one entity is the domain, genre, or subject area in which another entity writes or produces written work.
-
B.
wrote
Indicates that an entity is the author or creator of a written work involving another entity.
-
C.
written
chosen
Indicates that one entity has created or authored a text, document, or written work involving or about another entity.
-
D.
writingForm
Indicates the specific script, notation, or written representation used to express a piece of language or content.
-
E.
writingTool
Indicates that one entity serves as a tool or instrument used by another entity for the act of writing.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:16 a.m.