Triple

T23150992
Position Surface form Disambiguated ID Type / Status
Subject Bimbisara E578321 entity
Predicate spouse P13 FINISHED
Object Khema
Khema was a renowned queen of Magadha and later a prominent female disciple of the Buddha, celebrated for her wisdom and spiritual attainment.
 E1573654 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: Khema | Statement: [Bimbisara, spouse, Khema]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Khema
Context triple: [Bimbisara, spouse, Khema]
  • A. Katuna
    Katuna is a small border town in southwestern Uganda that serves as a key crossing point and trade route between Uganda and Rwanda.
  • B. Kelmis
    Kelmis is a municipality in eastern Belgium located in the country's German-speaking region, known for its historical zinc mining industry and borderland character near Germany and the Netherlands.
  • C. Kalia
    Kalia is an Israeli kibbutz and settlement located near the northern shore of the Dead Sea in the West Bank.
  • D. Shivta
    Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
  • E. Yamethin
    Yamethin is a town in central Myanmar known for its agricultural surroundings and location along the main route between Yangon and Mandalay.
  • 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: Khema
Triple: [Bimbisara, spouse, Khema]
Generated description
Khema was a renowned queen of Magadha and later a prominent female disciple of the Buddha, celebrated for her wisdom and spiritual attainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Khema
Target entity description: Khema was a renowned queen of Magadha and later a prominent female disciple of the Buddha, celebrated for her wisdom and spiritual attainment.
  • A. Katuna
    Katuna is a small border town in southwestern Uganda that serves as a key crossing point and trade route between Uganda and Rwanda.
  • B. Kelmis
    Kelmis is a municipality in eastern Belgium located in the country's German-speaking region, known for its historical zinc mining industry and borderland character near Germany and the Netherlands.
  • C. Kalia
    Kalia is an Israeli kibbutz and settlement located near the northern shore of the Dead Sea in the West Bank.
  • D. Shivta
    Shivta is an ancient Nabatean and Byzantine desert city in Israel, known for its remarkably well-preserved ruins and role along historic trade routes.
  • E. Yamethin
    Yamethin is a town in central Myanmar known for its agricultural surroundings and location along the main route between Yangon and Mandalay.
  • 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ed1a258819091ce86dbd1c51e46 completed April 29, 2026, 4:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c3098168481908aa4e4a985314db1 completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c3442ccb08190aaea6fe426a3dd10 completed May 19, 2026, 9:58 a.m.
NED2 Entity disambiguation (via description) batch_6a0c34a421308190bbaf614cdfa5e146 completed May 19, 2026, 10 a.m.
Created at: April 17, 2026, 4:01 p.m.