Triple
T19083436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reiki |
E467084
|
entity |
| Predicate | hasSymbolUse |
P9907
|
FINISHED |
| Object | Reiki symbols |
—
|
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: Reiki symbols | Statement: [Reiki, hasSymbolUse, Reiki symbols]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSymbolUse Context triple: [Reiki, hasSymbolUse, Reiki symbols]
-
A.
symbolicallyUses
chosen
Indicates that one entity employs another as a symbol or representation to convey meaning, ideas, or associations rather than for its literal or practical function.
-
B.
hasSymbolFor
Indicates that one entity serves as the symbolic representation or sign for another entity.
-
C.
hasMainSymbol
Indicates that one entity is designated as the primary or most representative symbol associated with another entity.
-
D.
hasLiveUse
Indicates that something is currently being used or actively in operation in a live, real-world context.
-
E.
hasSymbolicValue
Indicates that something holds meaning, significance, or representational value beyond its literal or practical function.
- 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2eab58c8190a987c88d633c92ec |
completed | April 20, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_69e4b9a604308190a3235184f9f2c056 |
completed | April 19, 2026, 11:16 a.m. |
Created at: April 10, 2026, 12:04 p.m.