Triple

T5009010
Position Surface form Disambiguated ID Type / Status
Subject Punjabi Brahmin E112567 entity
Predicate diaspora P2103 FINISHED
Object Chandigarh E15653 NE FINISHED

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: Chandigarh | Statement: [Punjabi Brahmin, diaspora, Chandigarh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chandigarh
Context triple: [Punjabi Brahmin, diaspora, Chandigarh]
  • A. Chandigarh chosen
    Chandigarh is a planned city in northern India, renowned for its modernist architecture and urban design largely conceived by the Swiss-French architect Le Corbusier.
  • B. Mohali
    Mohali is a planned city in the Indian state of Punjab, forming part of the Chandigarh Tricity region and known for its IT industry and international cricket stadium.
  • C. Shimla
    Shimla is a popular hill station and the capital city of Himachal Pradesh, known for its colonial-era architecture and scenic Himalayan surroundings in northern India.
  • D. Ludhiana
    Ludhiana is a major industrial city in the Indian state of Punjab, known especially for its textile and hosiery manufacturing.
  • E. Jammu
    Jammu is a historically significant city and region in northern India, known as the winter capital of Jammu and Kashmir and a former stronghold of Dogra rulers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd4433d0b08190877e83959ef40d81 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd72eb05f881908d7dc3d7cd07b2ae completed March 20, 2026, 4:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bee061444081909ba050ea2a5e3f48 completed March 21, 2026, 6:16 p.m.
Created at: March 20, 2026, 1:35 p.m.