Triple
T14479012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umm el-Qaab |
E359051
|
entity |
| Predicate | burialPlaceOf |
P196
|
FINISHED |
| Object | Semerkhet |
E600493
|
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: Semerkhet | Statement: [Umm el-Qaab, burialPlaceOf, Semerkhet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semerkhet Context triple: [Umm el-Qaab, burialPlaceOf, Semerkhet]
-
A.
Semerkhet
chosen
Semerkhet was an early dynastic Egyptian pharaoh of the First Dynasty, known from archaeological records and king lists as one of the successors of the unifier-kings of ancient Egypt.
-
B.
Kaa-Khem
Kaa-Khem is the local name for the Little Yenisei River, a tributary of the Yenisei flowing through the Tuva region of southern Siberia.
-
C.
Saqar
Saqar is a term in the Qur'an referring to a severe level of Hell associated with intense punishment for disbelievers.
-
D.
Sekhen
Sekhen is an alternative name for the ancient Egyptian king Ka, an early ruler of the First Dynasty period.
-
E.
Akhet
Akhet is the ancient Egyptian season of the Nile’s annual inundation, marking the flooding and renewal of the land.
- 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_69d827966698819082e140837737501d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924a576c819098351efabdb779b1 |
completed | April 14, 2026, 7:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd64a257488190818c65c1cc84c4b5 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:20 a.m.