Triple
T12522890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pepi I Meryre |
E299361
|
entity |
| Predicate | praenomenLanguage |
P70697
|
FINISHED |
| Object | Ancient Egyptian |
—
|
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: Ancient Egyptian | Statement: [Pepi I Meryre, praenomenLanguage, Ancient Egyptian]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: praenomenLanguage Context triple: [Pepi I Meryre, praenomenLanguage, Ancient Egyptian]
-
A.
praenomenTransliteration
Indicates the transliterated form of a person's Latin praenomen (given name) from its original script into a standardized Latin-letter representation.
-
B.
praenomenOfEthnicity
chosen
Indicates that a given personal first name (praenomen) is characteristic of, or associated with, a particular ethnicity.
-
C.
praenomenLinkedDeity
Indicates that a person's praenomen (given name) is etymologically or culturally linked to, derived from, or associated with a particular deity.
-
D.
isPraenomenOf
Indicates that a given personal name functions as the praenomen (given name) of a specific individual.
-
E.
preRomanName
Indicates the name by which an entity (such as a place or people) was known before the Roman period or prior to receiving a Roman-era name.
- F. None of above.
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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.