Triple
T17468476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nekheb |
E425338
|
entity |
| Predicate | hasModernName |
P20950
|
FINISHED |
| Object | El Kab |
—
|
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: El Kab | Statement: [Nekheb, hasModernName, El Kab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Kab Context triple: [Nekheb, hasModernName, El Kab]
-
A.
El Kab
chosen
El Kab is an ancient Egyptian city on the east bank of the Nile, notable as a major religious and archaeological site associated with the vulture goddess Nekhbet.
-
B.
Buhen
Buhen was an ancient Egyptian fortress town and trading center in Nubia that controlled a key Nile crossing near the Second Cataract.
-
C.
El-Kurru
El-Kurru is an ancient royal cemetery in northern Sudan, notable for its early Nubian pyramids and tombs of Kushite kings and elites.
-
D.
Gourna
Gourna is a small coastal settlement on the Greek island of Leros, known for its quiet beaches and traditional island character.
-
E.
Umm el-Qaab
Umm el-Qaab is an early dynastic royal cemetery at Abydos in Upper Egypt, known as the burial place of many of Egypt’s first pharaohs.
- 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451aa0e1c81909627369465575c06 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.