Triple
T27915929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maher |
E706069
|
entity |
| Predicate | grammaticalCategoryInArabic |
P7764
|
FINISHED |
| Object | active participle |
—
|
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: active participle | Statement: [Maher, grammaticalCategoryInArabic, active participle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grammaticalCategoryInArabic Context triple: [Maher, grammaticalCategoryInArabic, active participle]
-
A.
grammaticalType
Indicates the grammatical category or role (such as part of speech or syntactic function) that an expression has within a language.
-
B.
morphologicalClass
Indicates the classification of an entity based on its morphological form or structural pattern.
-
C.
grammaticalForm
chosen
Indicates the specific grammatical structure or morphological form that an expression or word takes in a given linguistic context.
-
D.
grammaticalComponents
Indicates a relationship where one entity is a grammatical part or element that composes or structures another linguistic unit.
-
E.
linguisticClassification
Indicates the relationship by which an entity is categorized according to its language or linguistic type.
- 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_69ef96b6cc808190aab19fb18b235f4b |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63b317e048190963989b732b25b91 |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f6370ea79c81909b761821ee0fa698 |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 6:53 p.m.