Triple
T20353071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vishvakarma |
E496066
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Surya |
—
|
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: Surya | Statement: [Vishvakarma, associatedWith, Surya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surya Context triple: [Vishvakarma, associatedWith, Surya]
-
A.
Surya
chosen
Surya is the Hindu sun god revered as a major solar deity associated with light, power, and vitality.
-
B.
Сунжа
Сунжа — это река на Северном Кавказе, протекающая через Чечню и Ингушетию и играющая важную роль в водной системе региона.
-
C.
Suryatoran
Suryatoran is an Indian film featuring legendary Bengali actress Suchitra Sen in a prominent role.
-
D.
Sunena
Sunena is an Indian feminine given name, typically considered a variant of the name Sunaina.
-
E.
Solnice
Solnice is a small town in the Hradec Králové Region of the Czech Republic, known for its industrial facilities and proximity to the Orlické Mountains.
- 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_69e0b4a3f7f48190b37f354574028ca6 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e67851c7088190ba960a33c6dfa824 |
completed | April 20, 2026, 7:02 p.m. |
Created at: April 16, 2026, 11:25 a.m.