Triple

T1397080
Position Surface form Disambiguated ID Type / Status
Subject Administrator of Lakshadweep E30689 entity
Predicate languageOfWorkOrName P15 FINISHED
Object Hindi E5054 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: Hindi | Statement: [Administrator of Lakshadweep, languageOfWorkOrName, Hindi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hindi
Context triple: [Administrator of Lakshadweep, languageOfWorkOrName, Hindi]
  • A. Hindi chosen
    Hindi is an Indo-Aryan language widely spoken across northern and central India and used in government, education, media, and popular culture.
  • B. Gujarati
    Gujarati is an Indo-Aryan language primarily spoken in the Indian state of Gujarat and by Gujarati communities worldwide.
  • C. Sant Bhasha
    Sant Bhasha is a historical North Indian devotional literary language used in Sikh and related spiritual poetry, written in the Gurmukhi script.
  • D. Maithili
    Maithili is an Indo-Aryan language spoken primarily in the eastern Indian state of Bihar and neighboring regions, with a rich literary tradition and official recognition in India.
  • E. Bhojpuri
    Bhojpuri is an Indo-Aryan language spoken primarily in eastern Uttar Pradesh, western Bihar, and parts of Nepal, with a rich folk culture and a large diaspora community.
  • 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_69a498fd4e408190bd73eca30ea9754c completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3817320819093067b1444d70b74 completed March 1, 2026, 10:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69acde310f748190a5c58caf4fbaa5c5 completed March 8, 2026, 2:25 a.m.
Created at: March 1, 2026, 7:59 p.m.