Triple

T582638
Position Surface form Disambiguated ID Type / Status
Subject Gujarat E15090 entity
Predicate borders P224 FINISHED
Object Maharashtra E19223 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: Maharashtra | Statement: [Gujarat, borders, Maharashtra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maharashtra
Context triple: [Gujarat, borders, Maharashtra]
  • A. Maharashtra chosen
    Maharashtra is a large and economically significant state in western India, known for its capital Mumbai, the country’s financial hub, and its rich cultural and historical heritage.
  • B. Gujarat
    Gujarat is a western coastal state of India known for its significant role in trade and industry, rich cultural heritage, and historic cities such as Ahmedabad.
  • C. Marathwada
    Marathwada is a historically significant and predominantly rural region in central Maharashtra, India, known for its drought-prone agriculture, cultural heritage, and cities like Aurangabad.
  • D. Bombay State
    Bombay State was a former large administrative region of western India under British rule and early independent India, later reorganized into the modern states of Maharashtra and Gujarat.
  • E. Uttar Pradesh
    Uttar Pradesh is a populous northern Indian state known for its political influence, rich cultural and religious heritage, and historic cities such as Varanasi and Agra.
  • 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_69a4935783b8819082b77726ec10cc42 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49b85becc8190b4d98c00e5fa7c04 completed March 1, 2026, 8:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69acddf440848190aa5019ffcedd4859 completed March 8, 2026, 2:24 a.m.
Created at: March 1, 2026, 7:33 p.m.