Triple

T7515066
Position Surface form Disambiguated ID Type / Status
Subject Vijaya Sena E177617 entity
Predicate royalHouse P8992 FINISHED
Object Sena
Sena was a medieval Indian royal dynasty that ruled parts of eastern India, particularly Bengal, and is known for its patronage of Hinduism and Sanskrit culture.
 E670298 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: Sena | Statement: [Vijaya Sena, royalHouse, Sena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sena
Context triple: [Vijaya Sena, royalHouse, Sena]
  • A. Sena
    Sena is a Bantu language spoken primarily along the Zambezi River region of central Mozambique and parts of neighboring countries.
  • B. Bani
    Bani was a daughter of the prominent Indian freedom fighter and lawyer Chittaranjan (C. R.) Das.
  • C. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • D. Beni
    Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
  • E. Beni
    Beni is a town in western Nepal that serves as a gateway to the Dhaulagiri and Annapurna mountain regions.
  • 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: Sena
Triple: [Vijaya Sena, royalHouse, Sena]
Generated description
Sena was a medieval Indian royal dynasty that ruled parts of eastern India, particularly Bengal, and is known for its patronage of Hinduism and Sanskrit culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sena
Target entity description: Sena was a medieval Indian royal dynasty that ruled parts of eastern India, particularly Bengal, and is known for its patronage of Hinduism and Sanskrit culture.
  • A. Sena
    Sena is a Bantu language spoken primarily along the Zambezi River region of central Mozambique and parts of neighboring countries.
  • B. Bani
    Bani was a daughter of the prominent Indian freedom fighter and lawyer Chittaranjan (C. R.) Das.
  • C. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • D. Beni
    Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
  • E. Beni
    Beni is a town in western Nepal that serves as a gateway to the Dhaulagiri and Annapurna mountain regions.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f44dd48190b2b093aab9a196c8 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8461d4dbc8190b921666fa3524921 completed March 28, 2026, 9:20 p.m.
NEDg Description generation batch_69c8471da6c481909b48db7ad6e9426d completed March 28, 2026, 9:24 p.m.
NED2 Entity disambiguation (via description) batch_69c848026e90819098d0b419101f91e1 completed March 28, 2026, 9:28 p.m.
Created at: March 27, 2026, 3:45 p.m.