Triple

T3163549
Position Surface form Disambiguated ID Type / Status
Subject Guru Angad E66155 entity
Predicate spouse P13 FINISHED
Object Mata Khivi
Mata Khivi was a revered Sikh figure known for her service, compassion, and role in developing the tradition of the Guru ka Langar (community kitchen).
E334234 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: Mata Khivi | Statement: [Guru Angad, spouse, Mata Khivi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mata Khivi
Context triple: [Guru Angad, spouse, Mata Khivi]
  • A. Mount Mtatsminda
    Mount Mtatsminda is a prominent mountain overlooking Tbilisi, Georgia, known for its panoramic views, historic sites, and cultural landmarks.
  • B. Sabie
    Sabie is a small forestry and tourism town in northeastern South Africa, known as a gateway to waterfalls and scenic routes near the Drakensberg escarpment.
  • C. Vaal Triangle
    The Vaal Triangle is a major industrial and urban region in South Africa, centered around the Vaal River and known for its heavy manufacturing and petrochemical industries.
  • D. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • E. Magaliesberg
    Magaliesberg is a mountain range in northern South Africa known for its rugged cliffs, rich biodiversity, and historical significance in early Boer and indigenous history.
  • 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: Mata Khivi
Triple: [Guru Angad, spouse, Mata Khivi]
Generated description
Mata Khivi was a revered Sikh figure known for her service, compassion, and role in developing the tradition of the Guru ka Langar (community kitchen).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mata Khivi
Target entity description: Mata Khivi was a revered Sikh figure known for her service, compassion, and role in developing the tradition of the Guru ka Langar (community kitchen).
  • A. Mount Mtatsminda
    Mount Mtatsminda is a prominent mountain overlooking Tbilisi, Georgia, known for its panoramic views, historic sites, and cultural landmarks.
  • B. Sabie
    Sabie is a small forestry and tourism town in northeastern South Africa, known as a gateway to waterfalls and scenic routes near the Drakensberg escarpment.
  • C. Vaal Triangle
    The Vaal Triangle is a major industrial and urban region in South Africa, centered around the Vaal River and known for its heavy manufacturing and petrochemical industries.
  • D. Mazabuka
    Mazabuka is a town in southern Zambia known for its sugar industry and agricultural production.
  • E. Magaliesberg
    Magaliesberg is a mountain range in northern South Africa known for its rugged cliffs, rich biodiversity, and historical significance in early Boer and indigenous history.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61a4b8481908897a8d39d94c2f4 completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235d823948190b1fbe0dbf303133d completed March 12, 2026, 3:41 a.m.
NEDg Description generation batch_69b239bac9c48190b38fd7fa59b4c061 completed March 12, 2026, 3:57 a.m.
NED2 Entity disambiguation (via description) batch_69b23a0dcb7c819080a89f08948aff3a completed March 12, 2026, 3:59 a.m.
Created at: March 8, 2026, 3:06 p.m.