Triple

T3177044
Position Surface form Disambiguated ID Type / Status
Subject Kangri E66488 entity
Predicate hasGlottologName P6521 FINISHED
Object Kangri E66488 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: Kangri | Statement: [Kangri, hasGlottologName, Kangri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kangri
Context triple: [Kangri, hasGlottologName, Kangri]
  • A. Kangri chosen
    Kangri is an Indo-Aryan language spoken primarily in the Kangra region of Himachal Pradesh in northern India.
  • B. Kumaoni
    Kumaoni is an Indo-Aryan language spoken primarily in the Kumaon region of India’s Uttarakhand state, known for its rich oral traditions and distinct dialects.
  • C. 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.
  • D. Kharagauli
    Kharagauli is a small town in western Georgia known as a gateway to the Borjomi-Kharagauli National Park and as a local transport and administrative hub.
  • E. Ruma
    Ruma is a central character in Jhumpa Lahiri’s short story “Unaccustomed Earth,” a second-generation Indian American woman navigating family expectations, grief, and cultural identity.
  • 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada69b0bec8190957913b44d876079 completed March 8, 2026, 4:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69b235f5ace88190b6bd16ec240240c0 completed March 12, 2026, 3:41 a.m.
Created at: March 8, 2026, 3:06 p.m.