Triple
T14315600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Osireion |
E354946
|
entity |
| Predicate | waterSymbolism |
P111594
|
FINISHED |
| Object | representation of primeval waters of Nun |
—
|
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: representation of primeval waters of Nun | Statement: [Osireion, waterSymbolism, representation of primeval waters of Nun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: waterSymbolism Context triple: [Osireion, waterSymbolism, representation of primeval waters of Nun]
-
A.
waterSymbolizes
chosen
Indicates that water is used as a symbol or metaphor representing a particular idea, quality, or concept.
-
B.
waterSymbolOnCoatOfArms
Indicates that a coat of arms includes a symbol or depiction representing water.
-
C.
waterSource
Indicates that one entity serves as the source or provider of water for another entity.
-
D.
waterFeature
Indicates the presence of a natural or artificial body or flow of water associated with the subject.
-
E.
waterType
Indicates the specific kind or category of water associated with an entity (e.g., fresh, salt, brackish).
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8838e45c819080ee69dd39e3bd43 |
completed | April 14, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.