Triple

T7525082
Position Surface form Disambiguated ID Type / Status
Subject Achyuta Deva Raya E177870 entity
Predicate title P38 FINISHED
Object Maharaya
Maharaya is a royal title associated with Achyuta Deva Raya, a 16th-century ruler of the Vijayanagara Empire in South India.
 E669614 NE FINISHED

How this triple was built (4 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: [Achyuta Deva Raya, title, Maharaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maharaya
Context triple: [Achyuta Deva Raya, title, Maharaya]
  • A. Umrangso
    Umrangso is an industrial and commercial town in Assam, India, known for its cement factories and hydroelectric power projects.
  • B. Siya
    Siya is an alternate name for the Avatime language, a Kwa language spoken in the Volta Region of Ghana.
  • C. Madura
    Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
  • D. 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.
  • E. Thaya
    Thaya is a river in Central Europe that flows through Austria and the Czech Republic, forming part of the border between the two countries.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Maharaya
Triple: [Achyuta Deva Raya, title, Maharaya]
Generated description
Maharaya is a royal title associated with Achyuta Deva Raya, a 16th-century ruler of the Vijayanagara Empire in South India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maharaya
Target entity description: Maharaya is a royal title associated with Achyuta Deva Raya, a 16th-century ruler of the Vijayanagara Empire in South India.
  • A. Umrangso
    Umrangso is an industrial and commercial town in Assam, India, known for its cement factories and hydroelectric power projects.
  • B. Siya
    Siya is an alternate name for the Avatime language, a Kwa language spoken in the Volta Region of Ghana.
  • C. Madura
    Madura is an island off the northeastern coast of Java in Indonesia, known for its distinct Madurese culture and traditional bull races.
  • D. 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.
  • E. Thaya
    Thaya is a river in Central Europe that flows through Austria and the Czech Republic, forming part of the border between the two countries.
  • F. None of above. chosen

Provenance (5 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c7ac5c8190bbf9befdff791de0 completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84635feb881908930bf355ac56a47 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c846d0b1348190bc2bf23e75c535a9 completed March 28, 2026, 9:23 p.m.
NED2 Entity disambiguation (via description) batch_69c84748b8988190b4f85c253ea9e403 completed March 28, 2026, 9:25 p.m.
Created at: March 27, 2026, 3:46 p.m.