Triple
T22040390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sekhen |
E544621
|
entity |
| Predicate | burialPlace |
P196
|
FINISHED |
| Object | Umm El Qaab |
—
|
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: Umm El Qaab | Statement: [Sekhen, burialPlace, Umm El Qaab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Umm El Qaab Context triple: [Sekhen, burialPlace, Umm El Qaab]
-
A.
Umm El Qaab
chosen
Umm El Qaab is an early dynastic royal necropolis at Abydos in Upper Egypt, known as the burial site of Egypt’s first pharaohs.
-
B.
Az-Zariyat
Az-Zariyat is an alternate transliteration of Surah Adh-Dhariyat, a chapter of the Qur’an that emphasizes God’s power, the reality of resurrection, and the consequences of denying the truth.
-
C.
Masafi
Masafi is a prominent bottled water and beverages brand based in the United Arab Emirates, known for its mineral water sourced from the Masafi region.
-
D.
Al Sailiya
Al Sailiya is a district in Doha, Qatar, known primarily as a residential area and for hosting local sports clubs and facilities.
-
E.
Ras El Hekma
Ras El Hekma is a prominent Mediterranean coastal area in Egypt known for its clear turquoise waters, white sandy beaches, and growing status as a luxury tourism and real estate destination.
- 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_69e11e32445c8190ab97089b48a130bb |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12828fc788190a22c0e9c2372656b |
completed | April 28, 2026, 9:35 p.m. |
Created at: April 16, 2026, 8:25 p.m.