Triple
T16102124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | فؤاد الأول |
E390644
|
entity |
| Predicate | التعليم |
P85893
|
FINISHED |
| Object | المدرسة الحربية في تورينو، إيطاليا |
—
|
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: المدرسة الحربية في تورينو، إيطاليا | Statement: [فؤاد الأول, التعليم, المدرسة الحربية في تورينو، إيطاليا]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: التعليم Context triple: [فؤاد الأول, التعليم, المدرسة الحربية في تورينو، إيطاليا]
-
A.
educationAndCulture
Indicates a relationship where activities, policies, or influences connect educational processes with cultural development, preservation, or expression.
-
B.
educationRight
Indicates that an entity holds a right or entitlement to receive education or educational opportunities.
-
C.
освіта
chosen
Indicates that one entity provides, has, or is associated with the education or educational background of another entity.
-
D.
educationalSector
Indicates a relationship in which something is part of, associated with, or operates within the education or schooling domain.
-
E.
educationSystem
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6976ec8190b499e99b196b0285 |
completed | April 17, 2026, 9:37 a.m. |
| PD | Predicate disambiguation | batch_69e182804208819087f35307cd6e4103 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5 a.m.