Triple
T22841209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Unas Pyramid complex |
E566083
|
entity |
| Predicate | pyramidNameMeaning |
P113171
|
FINISHED |
| Object | Beautiful are the places of Unas |
—
|
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: Beautiful are the places of Unas | Statement: [Unas Pyramid complex, pyramidNameMeaning, Beautiful are the places of Unas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pyramidNameMeaning Context triple: [Unas Pyramid complex, pyramidNameMeaning, Beautiful are the places of Unas]
-
A.
pyramidName
Indicates that a pyramid is associated with a specific name or title.
-
B.
pyramidDesignation
Indicates that one entity is formally designated or classified as a pyramid in relation to another entity or context.
-
C.
pyramidAlternativeName
Indicates that a pyramid is known or referred to by an alternative name or alias.
-
D.
ancientNameMeaning
chosen
Indicates that an entity’s ancient or historical name carries a particular meaning or interpretation.
-
E.
nameInHieroglyphs
Indicates that an entity’s name is written or represented using hieroglyphic script.
- 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_69e245869e188190a196584f36e682da |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17e83fa48819084568264ef45c833 |
completed | April 29, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:35 p.m.