Triple
T213144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian National Railways network |
E4759
|
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 National Railways network, connects, Minya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Minya Context triple: [Egyptian National Railways 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.
Assiut
Assiut is a major city in Upper Egypt on the Nile River, serving as an important regional administrative, commercial, and transportation hub.
-
C.
Deshret
Deshret is the ancient Egyptian Red Crown symbolizing the pharaonic authority and land of Lower Egypt.
-
D.
Sohag
Sohag is a city in Upper Egypt that serves as the capital of the Sohag Governorate and an important regional center along the Nile.
-
E.
Aswan
Aswan is a historic city in southern Egypt on the Nile River, known for its ancient temples, quarries, and the nearby Aswan High Dam.
- 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_69a2575cb1dc8190a01ad332426dc339 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c313d108190a65d3e939f961bef |
completed | Feb. 28, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b46e24888190b400bf5ee8028e7c |
completed | March 1, 2026, 3:37 a.m. |
Created at: Feb. 28, 2026, 2:52 a.m.