Triple
T3729436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 20000 Varuna |
E79025
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Varuna |
E81704
|
NE 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: Varuna | Statement: [20000 Varuna, namedAfter, Varuna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varuna Context triple: [20000 Varuna, namedAfter, Varuna]
-
A.
Varuna
chosen
Varuna is a large, rapidly rotating trans-Neptunian object in the Kuiper Belt, notable for its elongated shape and classification as a likely dwarf-planet candidate.
-
B.
Varuna
Varuna is an ancient Vedic god primarily associated with cosmic order, moral law, and the waters, often regarded as a sovereign guardian of ṛta (universal order).
-
C.
Mangal
Mangal is a given name most notably borne by Mangal Pandey, an Indian soldier whose actions helped spark the Indian Rebellion of 1857.
-
D.
Vrishabhavathi
Vrishabhavathi is a river in the Indian state of Karnataka that flows through parts of Bengaluru before joining the Arkavathi River.
-
E.
Urana
Urana is a small rural town in the Riverina region of New South Wales, Australia, known for its agricultural surroundings and historic country character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8b0e4650819090ad7cef094285e8 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb17432881909390284b935ed3fd |
completed | March 8, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db13d34881909fa74c682184b797 |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:34 p.m.