Triple
T14479007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umm el-Qaab |
E359051
|
entity |
| Predicate | burialPlaceOf |
P196
|
FINISHED |
| Object | Aha |
E148950
|
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: Aha | Statement: [Umm el-Qaab, burialPlaceOf, Aha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aha Context triple: [Umm el-Qaab, burialPlaceOf, Aha]
-
A.
Aha
chosen
Aha is an early Egyptian pharaoh, often identified with the legendary Menes, who is traditionally credited with unifying Upper and Lower Egypt and founding the First Dynasty.
-
B.
A Ha
"A Ha" is a track from the album *True Magic* by American rapper and producer Mos Def.
-
C.
Ahan
Ahan is a lesser-known Niger-Congo language spoken in parts of Nigeria, closely related to and geographically adjacent to Ukaan.
-
D.
Ahe
Ahe is a remote coral atoll in French Polynesia’s Tuamotu Archipelago, known for its lagoon, pearl farming, and traditional Polynesian way of life.
-
E.
Aahoo
Aahoo is the Persian birth name of American actress and former NFL cheerleader Sarah Shahi.
- 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.