Triple
T14291665
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian road network |
E354326
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Minya |
E18203
|
NE 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: Minya | Statement: [Egyptian road network, connects, Minya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minya Context triple: [Egyptian road network, connects, 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.
Waset
Waset was the ancient Egyptian city known in Greek as Thebes, a major religious and political center along the Nile.
-
D.
Shebin El Qanater
Shebin El Qanater is a city in Egypt’s Qalyubia Governorate, located in the Nile Delta north of Cairo.
-
E.
Ain Sokhna
Ain Sokhna is a popular Egyptian Red Sea resort town known for its beaches, proximity to Cairo, and role as a growing industrial and port area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6981e9148190baf2ed56a7b7340e |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1fee448190bcafb37dd6618d60 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:11 a.m.