Triple

T17936850
Position Surface form Disambiguated ID Type / Status
Subject Mahajanapada period E448489 entity
Predicate includes P1393 FINISHED
Object Assaka
Assaka was an ancient Indian kingdom and one of the sixteen Mahajanapadas mentioned in early Buddhist and Jain texts.
 E1299748 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: Assaka | Statement: [Mahajanapada period, includes, Assaka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Assaka
Context triple: [Mahajanapada period, includes, Assaka]
  • A. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • B. Kawasoti
    Kawasoti is a town in central Nepal that serves as an administrative and commercial hub in the Gandaki Province region.
  • C. Sawata
    Sawata was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
  • D. Kuwana
    Kuwana is a city in central Japan known historically as a post town on the Tōkaidō route and for its cultural sites and traditional festivals.
  • E. Sawa
    Sawa is a Japanese surname most prominently associated with Homare Sawa, a legendary Japanese women’s footballer and World Cup winner.
  • 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: Assaka
Triple: [Mahajanapada period, includes, Assaka]
Generated description
Assaka was an ancient Indian kingdom and one of the sixteen Mahajanapadas mentioned in early Buddhist and Jain texts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Assaka
Target entity description: Assaka was an ancient Indian kingdom and one of the sixteen Mahajanapadas mentioned in early Buddhist and Jain texts.
  • A. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • B. Kawasoti
    Kawasoti is a town in central Nepal that serves as an administrative and commercial hub in the Gandaki Province region.
  • C. Sawata
    Sawata was a former town in Niigata Prefecture, Japan, that later became part of the city of Sado through municipal merger.
  • D. Kuwana
    Kuwana is a city in central Japan known historically as a post town on the Tōkaidō route and for its cultural sites and traditional festivals.
  • E. Sawa
    Sawa is a Japanese surname most prominently associated with Homare Sawa, a legendary Japanese women’s footballer and World Cup winner.
  • 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_69d8b9f79d14819095540856928f0e25 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4ad924f6c8190a0d676dfa20c9918 completed April 19, 2026, 10:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a03379ddb5881909a3aa5ced03647b7 completed May 12, 2026, 2:22 p.m.
NEDg Description generation batch_6a0338cd02808190b650f59fc16bab0d completed May 12, 2026, 2:27 p.m.
NED2 Entity disambiguation (via description) batch_6a033cb498248190a3805cd356832cd0 completed May 12, 2026, 2:44 p.m.
Created at: April 10, 2026, 10:21 a.m.