Triple
T15801343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | دلالة الحائرين |
E383103
|
entity |
| Predicate | يُصنّف |
P25488
|
FINISHED |
| Object | عمل كلاسيكي في الفلسفة الدينية |
—
|
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: عمل كلاسيكي في الفلسفة الدينية | Statement: [دلالة الحائرين, يُصنّف, عمل كلاسيكي في الفلسفة الدينية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُصنّف Context triple: [دلالة الحائرين, يُصنّف, عمل كلاسيكي في الفلسفة الدينية]
-
A.
areClassifiedBy
chosen
Indicates that entities are assigned to one or more categories, types, or classes according to a specified classification scheme.
-
B.
definesClassification
Indicates that one entity specifies or establishes the classification or category to which another entity belongs.
-
C.
classificationAccordingTo
Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
-
D.
classificationIntroduced
Indicates that one entity has introduced or established a particular classification or categorization for another entity.
-
E.
yieldClassification
Indicates how an outcome, result, or production level is categorized or labeled according to predefined yield criteria.
- 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_69d86da16e188190b89af699f1ed0bfe |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b522a2988190b2a2bde2da31b21e |
completed | April 16, 2026, 10:08 a.m. |
| PD | Predicate disambiguation | batch_69e0053b847c8190945726c3ddac21cc |
completed | April 15, 2026, 9:38 p.m. |
Created at: April 10, 2026, 4:48 a.m.