Triple
T7730611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Viranarasimha Raya |
E175239
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Maharaya |
E669614
|
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: Maharaya | Statement: [Viranarasimha Raya, title, Maharaya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maharaya Context triple: [Viranarasimha Raya, title, Maharaya]
-
A.
Maharaya
chosen
Maharaya is a royal title associated with Achyuta Deva Raya, a 16th-century ruler of the Vijayanagara Empire in South India.
-
B.
Umrangso
Umrangso is an industrial and commercial town in Assam, India, known for its cement factories and hydroelectric power projects.
-
C.
Siya
Siya is an alternate name for the Avatime language, a Kwa language spoken in the Volta Region of Ghana.
-
D.
Madura
Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
-
E.
Tan Malaka
Tan Malaka was an influential Indonesian Marxist thinker, revolutionary leader, and nationalist who played a key role in the struggle against Dutch colonial rule and in shaping early Indonesian political thought.
- 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_69c6995e912c81909a49a2657103f786 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703358cf881909df8496d943d6de7 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b52e176481908595fea4ace7a607 |
completed | March 29, 2026, 5:14 a.m. |
Created at: March 27, 2026, 4:06 p.m.