Triple
T17953603
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Varuna |
E448890
|
entity |
| Predicate | epithet |
P743
|
FINISHED |
| Object | Lord of the Waters |
—
|
NE NERFINISHED |
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: Lord of the Waters | Statement: [Varuna, epithet, Lord of the Waters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lord of the Waters Context triple: [Varuna, epithet, Lord of the Waters]
-
A.
Lord of the Waters
chosen
Lord of the Waters is a divine epithet of Varuna, the ancient Vedic god associated with the cosmic ocean, moral order, and the celestial waters.
-
B.
Lord of the Inundation
Lord of the Inundation is an epithet of the Egyptian creator god Khnum, highlighting his role in controlling and bringing the life-giving annual Nile flood.
-
C.
Fonte das Lágrimas
Fonte das Lágrimas is a historic fountain in Coimbra, Portugal, romantically associated with the tragic medieval love story of Pedro and Inês de Castro.
-
D.
Maelstrom
Maelstrom was a former boat ride attraction in Epcot’s World Showcase at Walt Disney World, themed around Norwegian culture, mythology, and seafaring adventures.
-
E.
Maelstrom
The Maelstrom is a Minmatar Republic battleship in EVE Online known for its powerful shield tank and devastating artillery alpha strike.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4afae2aa081909a59a8cd4f1d04e1 |
completed | April 19, 2026, 10:34 a.m. |
Created at: April 10, 2026, 10:21 a.m.