Triple
T621637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cairo–Aswan railway line |
E14525
|
entity |
| Predicate | servesCity |
P82
|
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: [Cairo–Aswan railway line, servesCity, Qena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qena Context triple: [Cairo–Aswan railway line, servesCity, 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.
Nephthys
Nephthys is an ancient Egyptian goddess associated with mourning, protection, and the night, often depicted as the sister of Isis and Osiris and the wife of Set.
-
E.
Mawtini
Mawtini is a patriotic Arabic song that serves as Iraq’s national anthem, celebrating homeland, freedom, and resilience.
- 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_69a4934b17c881909ace8270e8ddd202 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49e3e5d80819096e72e11b533f931 |
completed | March 1, 2026, 8:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a56c4b64088190a033462dd923f5b2 |
completed | March 2, 2026, 10:54 a.m. |
Created at: March 1, 2026, 7:35 p.m.