Triple

T22508766
Position Surface form Disambiguated ID Type / Status
Subject Goindwal E556459 entity
Predicate region P40 FINISHED
Object Majha NE NERFINISHED

How this triple was built (2 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: Majha | Statement: [Goindwal, region, Majha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Majha
Context triple: [Goindwal, region, Majha]
  • A. Majha chosen
    Majha is a culturally significant region of Punjab in northern India, traditionally known as the heartland of Sikh culture and history.
  • B. Maitha
    Maitha is a member of Dubai’s ruling Al Maktoum family, known as the daughter of Sheikh Mohammed bin Rashid Al Maktoum and for her involvement in sports and public life in the United Arab Emirates.
  • C. Mam Maya
    Mam Maya are an Indigenous Maya people of the highlands of Guatemala and parts of Mexico, known for their distinct Mayan language, traditional weaving, and resilient cultural practices.
  • D. Majhli Didi
    Majhli Didi is a 1967 Hindi drama film, based on a story by Sarat Chandra Chattopadhyay and noted for its sensitive portrayal of rural life and relationships.
  • E. Madhai
    Madhai is a popular forest gateway village and tourism hub on the edge of Satpura Tiger Reserve in Madhya Pradesh, India, known for its wildlife safaris and scenic riverfront setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5ebe5881908a22d519128415f2 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.