Triple
T23065494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Minya Governorate |
E575027
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Minya |
—
|
NE NERFINISHED |
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: Minya | Statement: [Al Minya Governorate, containsCity, Minya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minya Context triple: [Al Minya Governorate, containsCity, Minya]
-
A.
Minya
chosen
Minya is a major city in Upper Egypt on the Nile River, serving as an important regional administrative and commercial center.
-
B.
Minya Governorate
Minya Governorate is an administrative region in Upper Egypt along the Nile River, known for its agricultural production and numerous ancient archaeological sites.
-
C.
Benha
Benha is a city in Egypt’s Nile Delta region that serves as the capital of Qalyubia Governorate and an important agricultural and transport hub north of Cairo.
-
D.
إسنا
إسنا هي مدينة مصرية تاريخية تقع على الضفة الغربية لنهر النيل في محافظة الأقصر وتشتهر بمعبد خنوم وببوابتها الرومانية.
-
E.
Waset
Waset was the ancient Egyptian city known in Greek as Thebes, a major religious and political center along the Nile.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a3e39481909cad356ad0bb3ee6 |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.