Triple

T21612640
Position Surface form Disambiguated ID Type / Status
Subject Henry Martyn E533348 entity
Predicate languageTranslatedInto P52478 FINISHED
Object Hindustani NE NERFINISHED

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: Hindustani | Statement: [Henry Martyn, languageTranslatedInto, Hindustani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hindustani
Context triple: [Henry Martyn, languageTranslatedInto, Hindustani]
  • A. Hindi
    Hindi is an Indo-Aryan language widely spoken across northern and central India and used in government, education, media, and popular culture.
  • B. Hindko
    Hindko is a group of Indo-Aryan dialects spoken primarily in northern Pakistan, especially in parts of Khyber Pakhtunkhwa and Azad Kashmir.
  • C. Indienne
    Indienne was a French naval ship that took part in the early 19th-century Battle of the Basque Roads during the Napoleonic Wars.
  • D. Hindiyah
    Hindiyah is a town in Iraq, located in the Babil Governorate, known as the birthplace of former Prime Minister Nouri al-Maliki.
  • E. Hindustani language chosen
    The Hindustani language is a major Indo-Aryan language of South Asia that encompasses the closely related standardized forms of Hindi and Urdu and serves as a key lingua franca across northern India and Pakistan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c46411108190bba0d4176dffc9f3 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef3ba79424819094e9ee93c4bbcc0b completed April 27, 2026, 10:34 a.m.
Created at: April 16, 2026, 6:33 p.m.