Triple

T15286720
Position Surface form Disambiguated ID Type / Status
Subject Rajauri E365419 entity
Predicate hasCommonLanguage P741 FINISHED
Object Gojri E551583 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: Gojri | Statement: [Rajauri, hasCommonLanguage, Gojri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gojri
Context triple: [Rajauri, hasCommonLanguage, Gojri]
  • A. Gojri chosen
    Gojri is an Indo-Aryan language traditionally spoken by the Gujjar community across parts of northern India and Pakistan.
  • B. Dogri
    Dogri is an Indo-Aryan language spoken primarily in the Jammu region of India and surrounding areas, recognized as one of the official languages of India.
  • C. Nagpuri
    Nagpuri is an Indo-Aryan language spoken primarily in parts of eastern India, especially in and around the present-day state of Jharkhand.
  • D. Mirpuri
    Mirpuri is a major dialect of the Lahnda (Western Punjabi) language, primarily spoken in the Mirpur region of Azad Kashmir and among its diaspora communities.
  • E. Bagheli
    Bagheli is an Indo-Aryan language spoken primarily in the Bagelkhand region of central India, closely related to Hindi and used by millions as a regional vernacular.
  • 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_69d85a103d9081908c1ea6c4c73ac8e3 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00e551bb0819094db097285443740 completed April 15, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69feef798a588190981c77e6f4c6be78 completed May 9, 2026, 8:25 a.m.
Created at: April 10, 2026, 3:15 a.m.