Triple
T21648264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nitocris I |
E534270
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Saite Egypt |
—
|
NE NERFINISHED |
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: Saite Egypt | Statement: [Nitocris I, residence, Saite Egypt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saite Egypt Context triple: [Nitocris I, residence, Saite Egypt]
-
A.
Saite Egypt
chosen
Saite Egypt was the period of ancient Egyptian history under the 26th Dynasty, marked by a renaissance in art and culture and centered in the city of Sais before the Persian conquest.
-
B.
Tusun
Tusun was an Ottoman Egyptian prince, the son of Muhammad Ali Pasha, who played a notable role in early 19th-century military campaigns in the Arabian Peninsula.
-
C.
Mehen
Mehen is an ancient Egyptian protective serpent deity who coils around the sun god Ra to shield him from threats like the chaos serpent Apep.
-
D.
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.
-
E.
Esna
Esna is a small village located in Järva County in central Estonia.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef59124e1c81908d454894d66359e7 |
completed | April 27, 2026, 12:39 p.m. |
Created at: April 16, 2026, 6:35 p.m.