Triple
T5765126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ka |
E127192
|
entity |
| Predicate | serekhContains |
P66245
|
FINISHED |
| Object | hieroglyph of the ka symbol |
—
|
LITERAL 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: hieroglyph of the ka symbol | Statement: [Ka, serekhContains, hieroglyph of the ka symbol]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: serekhContains Context triple: [Ka, serekhContains, hieroglyph of the ka symbol]
-
A.
nameInHieroglyphs
Indicates that an entity’s name is written or represented using hieroglyphic script.
-
B.
hasInscriptionFromReignOf
Indicates that an object bears an inscription created during the reign of a specified ruler or authority.
-
C.
pyramidTextInscriptions
Indicates that the subject has text inscriptions located on or within a pyramid.
-
D.
ancientEgyptianName
Indicates that one entity is the ancient Egyptian name or designation historically used for the other entity.
-
E.
hasNumberOfNamesInscribed
Indicates the quantity of distinct names that are inscribed on a given entity.
- F. None of above. chosen
Provenance (4 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_69c00834f6308190851b0abeddd8ed7e |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02acb12c081908e4beee4a957f9f9 |
completed | March 22, 2026, 5:45 p.m. |
| PD | Predicate disambiguation | batch_69c021ce8d3c81909b332cb1c33a61ad |
completed | March 22, 2026, 5:07 p.m. |
| PDg | Predicate description generation | batch_69c02ac9603481909e3fa295d7904a15 |
completed | March 22, 2026, 5:45 p.m. |
Created at: March 22, 2026, 3:49 p.m.