Triple

T14491817
Position Surface form Disambiguated ID Type / Status
Subject Dhordo E359378 entity
Predicate languageSpoken P151 FINISHED
Object Kutchi E376238 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: Kutchi | Statement: [Dhordo, languageSpoken, Kutchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kutchi
Context triple: [Dhordo, languageSpoken, Kutchi]
  • A. Kutchi chosen
    Kutchi is an Indo-Aryan language spoken primarily by the Kutchi people of the Kutch region in the Indian state of Gujarat and in diaspora communities abroad.
  • B. Kutch
    Kutch is a large district in western India known for its salt desert landscapes, rich handicraft traditions, and vibrant cultural festivals.
  • C. Kathiawar
    Kathiawar is a peninsula in western India, in present-day Gujarat, historically known for its princely states and coastal trade centers.
  • D. Kathiawari
    Kathiawari is a regional dialect of Gujarati spoken primarily in the Saurashtra (Kathiawar) peninsula of western India, known for its distinct phonetic and lexical features.
  • E. Dakhni
    Dakhni is a historical Indo-Aryan language variety that developed in the Deccan region of India, blending early Urdu/Hindavi with local languages and Persian-Arabic influences.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de930d820481908b9813014dd02540 completed April 14, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5c1bf988190b1265c3db9a6b590 completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:20 a.m.