Triple
T37349509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الممتحنة |
E927282
|
entity |
| Predicate | نوع_الخطاب |
P139815
|
FINISHED |
| Object | تشريعي توجيهي |
—
|
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: تشريعي توجيهي | Statement: [الممتحنة, نوع_الخطاب, تشريعي توجيهي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: نوع_الخطاب Context triple: [الممتحنة, نوع_الخطاب, تشريعي توجيهي]
-
A.
typeOfSpeechDelivered
Indicates that a specific kind or category of speech (e.g., keynote, lecture, toast) was delivered in a given event or context.
-
B.
discourseType
chosen
Indicates the specific kind or category of discourse (such as narrative, argument, explanation, or dialogue) that characterizes a given communicative act or text.
-
C.
speechType
Indicates the specific category or form of spoken or written communication that an utterance or speech act belongs to (e.g., question, statement, command).
-
D.
dialogueType
Indicates the specific kind or category of dialogue occurring between entities (e.g., question-answer, negotiation, instruction).
-
E.
politicalRhetoric
Indicates that an entity uses language or communication strategically to influence political opinions, attitudes, or actions.
- 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_69f76eb5e034819088e53ab5b7909a68 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.