Triple
T10143647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kingdom of Kush |
E231646
|
entity |
| Predicate | notableRuler |
P22
|
FINISHED |
| Object | Amanishakheto |
E750912
|
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: Amanishakheto | Statement: [Kingdom of Kush, notableRuler, Amanishakheto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amanishakheto Context triple: [Kingdom of Kush, notableRuler, Amanishakheto]
-
A.
Amanishakheto
chosen
Amanishakheto was a powerful queen of the ancient Kingdom of Kush, known for her military leadership and richly adorned royal tomb at Meroë.
-
B.
Akhet
Akhet is the ancient Egyptian season of the Nile’s annual inundation, marking the flooding and renewal of the land.
-
C.
Sekhen
Sekhen is an alternative name for the ancient Egyptian king Ka, an early ruler of the First Dynasty period.
-
D.
Waset
Waset was the ancient Egyptian city known in Greek as Thebes, a major religious and political center along the Nile.
-
E.
Gerzeh
Gerzeh is a predynastic Egyptian cemetery site notable for its Naqada II period burials and early examples of grave goods, including some of the oldest known worked iron beads.
- 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_69ca848364f881908a24366a6feec1db |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cdeb28a1708190b46499dbe51a694a |
completed | April 2, 2026, 4:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e618b0bc8190bc1d6f15dac2708e |
completed | April 5, 2026, 10:45 p.m. |
Created at: March 30, 2026, 9:07 p.m.