Triple
T38088077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nyuserra |
E951027
|
entity |
| Predicate | usedSunTemple |
P190003
|
FINISHED |
| Object | state cult of Ra |
—
|
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: state cult of Ra | Statement: [Nyuserra, usedSunTemple, state cult of Ra]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedSunTemple Context triple: [Nyuserra, usedSunTemple, state cult of Ra]
-
A.
usedOnTempleOf
Indicates that something is applied, installed, or otherwise utilized on a temple or temple structure.
-
B.
templeUse
Indicates that something is used as, functions as, or serves the purpose of a temple.
-
C.
mainTemple
Indicates that one entity serves as the primary or central temple associated with another entity.
-
D.
associatedWithTempleTown
Indicates a relationship where an entity has a connection or linkage to a town that is characterized by or centered around a temple.
-
E.
successorInSunTemples
Indicates that one entity directly follows another in a succession line specifically within the context of Sun Temples.
- 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_69f76f03a3608190a73fd6df87c792a8 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fc4748843c8190931432653be4890c |
completed | May 7, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69fc45646ce481908caf292ff9f06e15 |
completed | May 7, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69fc4747b06c8190a3ea5331f02eedad |
completed | May 7, 2026, 8:03 a.m. |
Created at: May 3, 2026, 4:21 p.m.