Triple
T213147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian National Railways network |
E4759
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Qena |
E10374
|
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: Qena | Statement: [Egyptian National Railways network, connects, Qena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qena Context triple: [Egyptian National Railways network, connects, Qena]
-
A.
Qena
chosen
Qena is a city in Upper Egypt on the east bank of the Nile, known as a regional administrative center and gateway to nearby ancient sites such as Dendera.
-
B.
Ineb-hedj
Ineb-hedj is the ancient Egyptian name for the city later known as Memphis, a major political and religious center of early Egypt.
-
C.
Wadjet
Wadjet is an ancient Egyptian cobra goddess associated with royal protection, kingship, and the land of Lower Egypt.
-
D.
Pharaoh’s daughter
Pharaoh’s daughter is the unnamed Egyptian princess in the Hebrew Bible who marries King Solomon, symbolizing his political alliance with Egypt.
-
E.
Sekhmet
Sekhmet is an ancient Egyptian lioness-headed goddess associated with war, destruction, and healing, revered as a powerful protector and bringer of both plague and cure.
- 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_69a3736ce0148190971ea784bfd171a5 |
completed | Feb. 28, 2026, 10:59 p.m. |
Created at: Feb. 28, 2026, 2:52 a.m.