Triple
T4513823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surya |
E102109
|
entity |
| Predicate | numberSymbolism |
P129
|
FINISHED |
| Object | seven horses symbolize seven meters of Vedic hymns |
—
|
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: seven horses symbolize seven meters of Vedic hymns | Statement: [Surya, numberSymbolism, seven horses symbolize seven meters of Vedic hymns]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberSymbolism Context triple: [Surya, numberSymbolism, seven horses symbolize seven meters of Vedic hymns]
-
A.
starColorSymbolism
Indicates how the color of a star is associated with particular symbolic meanings or themes.
-
B.
emblemSymbolism
Indicates that one entity serves as an emblem whose design or features symbolically represent or convey meanings about another entity.
-
C.
numericalValueHebrewGematria
Indicates that a numerical value is assigned to text based on Hebrew gematria, where Hebrew letters correspond to specific numbers and their sum yields the value.
-
D.
symbolizes
chosen
Indicates that one entity stands for, represents, or is used as a sign for another entity, concept, or idea.
-
E.
numericalValueInGematria
Indicates that a given entity is associated with a specific numerical value as determined by a gematria system of letter-to-number conversion.
- 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_69bd43d6251c81909deecce3e6e9d69c |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd572402f481908151f7899bc96306 |
completed | March 20, 2026, 2:18 p.m. |
| PD | Predicate disambiguation | batch_69bd521abea48190b3e758a1f98dd55e |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:02 p.m.