Triple
T801444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Egypt |
E17135
|
entity |
| Predicate | historicalCapital |
P2536
|
FINISHED |
| Object | Waset |
E98742
|
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: Waset | Statement: [Upper Egypt, historicalCapital, Waset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Waset Context triple: [Upper Egypt, historicalCapital, Waset]
-
A.
Waset
chosen
Waset was the ancient Egyptian city known in Greek as Thebes, a major religious and political center along the Nile.
-
B.
Dendera
Dendera is an ancient Egyptian town best known for the well-preserved Temple of Hathor and its rich archaeological remains along the Nile.
-
C.
Dender
The Dender is a river in Belgium that flows through Wallonia and Flanders before joining the Scheldt near the city of Dendermonde.
-
D.
Deshret
Deshret is the ancient Egyptian Red Crown symbolizing the pharaonic authority and land of Lower Egypt.
-
E.
Giza
Giza is an Egyptian city on the west bank of the Nile, famous for the Giza Plateau where the Great Pyramids and the Sphinx are located.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7cc75e88190bd35aabe51051b51 |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3b1a81481908c831d1f43b9d014 |
completed | March 4, 2026, 3:14 a.m. |
Created at: March 1, 2026, 7:38 p.m.