Triple
T17523193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She of Nekheb |
E426727
|
entity |
| Predicate | associatedWithCity |
P1481
|
FINISHED |
| Object | Elkab |
—
|
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: Elkab | Statement: [She of Nekheb, associatedWithCity, Elkab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elkab Context triple: [She of Nekheb, associatedWithCity, Elkab]
-
A.
Elkab
chosen
Elkab is an ancient Egyptian city and archaeological site in Upper Egypt, notable as a major cult center of the vulture goddess Nekhbet.
-
B.
Aswan
Aswan is a historic city in southern Egypt on the Nile River, known for its ancient temples, quarries, and the nearby Aswan High Dam.
-
C.
Kharga
Kharga is a town in Egypt’s Western Desert that serves as the administrative center of the surrounding Kharga Oasis region.
-
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.
Qurna
Qurna is a town in southern Iraq near the confluence of the Tigris and Euphrates rivers, historically significant as a strategic site during World War I.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e452d40ee08190b79d8e3d7f1b1272 |
completed | April 19, 2026, 3:58 a.m. |
Created at: April 10, 2026, 5:49 a.m.