Triple
T1085391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wadjet |
E24038
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Lady of Lower Egypt |
E24038
|
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: Lady of Lower Egypt | Statement: [Wadjet, title, Lady of Lower Egypt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lady of Lower Egypt Context triple: [Wadjet, title, Lady of Lower Egypt]
-
A.
Wadjet
chosen
Wadjet is an ancient Egyptian cobra goddess associated with royal protection, kingship, and the land of Lower Egypt.
-
B.
Qena
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.
-
C.
Nefretiri
Nefretiri is a central character in the 1956 biblical epic film "The Ten Commandments," portrayed as an Egyptian princess torn between her love for Moses and her loyalty to the Pharaoh.
-
D.
Neith
Neith is an ancient Egyptian goddess associated with war, hunting, and weaving, often revered as a creator deity and protector of Lower Egypt.
-
E.
Isis
Isis is the name given to the stretch of the River Thames that flows through Oxford, England.
- 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_69a49404428c819092dcc9632f5f7b8b |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b961d0cc8190858296b44fab2f32 |
completed | March 1, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5ea491ec8190bf6bd84ecb5af341 |
completed | March 7, 2026, 5:21 p.m. |
Created at: March 1, 2026, 7:42 p.m.