Triple

T5177017
Position Surface form Disambiguated ID Type / Status
Subject Sahadeva E116823 entity
Predicate grandsonOf P27130 FINISHED
Object Ambalika
Ambalika is a queen from the Indian epic Mahabharata, known as one of the wives of King Vichitravirya and mother of the Pandava lineage.
E499997 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: Ambalika | Statement: [Sahadeva, grandsonOf, Ambalika]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ambalika
Context triple: [Sahadeva, grandsonOf, Ambalika]
  • A. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • B. Ambo
    Ambo is a coastal village on Tarawa Atoll in Kiribati, known for its role as a small residential and administrative community in the central Pacific.
  • C. Taroombal
    Taroombal is a clan of the Darumbal Aboriginal people, a First Nations group traditionally associated with the Rockhampton region of central Queensland, Australia.
  • D. Amvuttra
    Amvuttra is an RNA interference (RNAi) therapeutic used to treat hereditary transthyretin-mediated (hATTR) amyloidosis by reducing the production of transthyretin protein.
  • E. Urambo
    Urambo is a town and district headquarters in western Tanzania known historically for tobacco production and its location within the Tabora Region.
  • 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: Ambalika
Triple: [Sahadeva, grandsonOf, Ambalika]
Generated description
Ambalika is a queen from the Indian epic Mahabharata, known as one of the wives of King Vichitravirya and mother of the Pandava lineage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ambalika
Target entity description: Ambalika is a queen from the Indian epic Mahabharata, known as one of the wives of King Vichitravirya and mother of the Pandava lineage.
  • A. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • B. Ambo
    Ambo is a coastal village on Tarawa Atoll in Kiribati, known for its role as a small residential and administrative community in the central Pacific.
  • C. Taroombal
    Taroombal is a clan of the Darumbal Aboriginal people, a First Nations group traditionally associated with the Rockhampton region of central Queensland, Australia.
  • D. Amvuttra
    Amvuttra is an RNA interference (RNAi) therapeutic used to treat hereditary transthyretin-mediated (hATTR) amyloidosis by reducing the production of transthyretin protein.
  • E. Urambo
    Urambo is a town and district headquarters in western Tanzania known historically for tobacco production and its location within the Tabora Region.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7974a5308190819b100e07189131 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed95185ac819085fb42a69e014ec5 completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69bedb0e6d248190b099c2b282efde19 completed March 21, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_69bedb7c82d081908141c775cbed881e completed March 21, 2026, 5:55 p.m.
Created at: March 20, 2026, 1:45 p.m.