Triple

T14128327
Position Surface form Disambiguated ID Type / Status
Subject Sonipat E340091 entity
Predicate additionalOfficialLanguage P5601 FINISHED
Object Haryanvi E148853 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: Haryanvi | Statement: [Sonipat, additionalOfficialLanguage, Haryanvi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Haryanvi
Context triple: [Sonipat, additionalOfficialLanguage, Haryanvi]
  • A. Haryanvi chosen
    Haryanvi is an Indo-Aryan language and dialect of Hindi spoken primarily in the Indian state of Haryana and surrounding regions, known for its distinct phonology, vocabulary, and rustic cultural associations.
  • B. Haryana
    Haryana is a northern Indian state known for its significant agricultural output, rapid industrial growth, and proximity to the national capital, New Delhi.
  • C. Panjab
    Panjab is a town in Afghanistan’s Hazarajat region that serves as an important local center within Bamyan Province.
  • D. Patiala State
    Patiala State was a prominent princely state in colonial India, centered in present-day Punjab and ruled by the Phulkian dynasty under British suzerainty.
  • E. Himachal Pradesh
    Himachal Pradesh is a mountainous state in northern India known for its Himalayan landscapes, hill stations, and tourism.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd19356478819083406440c22c38e2 completed May 7, 2026, 10:59 p.m.
Created at: April 9, 2026, 10:22 p.m.