Triple
T21985777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | وزارة النقل المصرية |
E542957
|
entity |
| Predicate | المسؤولية الرئيسية |
P56094
|
FINISHED |
| Object | تخطيط قطاع النقل في مصر |
—
|
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: تخطيط قطاع النقل في مصر | Statement: [وزارة النقل المصرية, المسؤولية الرئيسية, تخطيط قطاع النقل في مصر]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: المسؤولية الرئيسية Context triple: [وزارة النقل المصرية, المسؤولية الرئيسية, تخطيط قطاع النقل في مصر]
-
A.
primaryTask
Indicates that an entity has a main or most important task, role, or function it is responsible for above all others.
-
B.
responsibleFor
Indicates that one entity has a duty, obligation, or role to manage, oversee, or be accountable for another entity or outcome.
-
C.
hasPrimaryDuty
chosen
Indicates that one entity holds the main or most important responsibility or obligation toward another entity or within a specified context.
-
D.
principalRoleIn
Indicates that an entity holds the primary or leading role in a particular context, activity, or relationship.
-
E.
primarySignificance
Indicates that something has the greatest importance, relevance, or impact among a set of related things or factors.
- 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12709cb288190a2620e337fea364c |
completed | April 28, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69e6f6154e408190acc5b2c278acaff4 |
completed | April 21, 2026, 3:59 a.m. |
Created at: April 16, 2026, 8:04 p.m.