Triple

T496599
Position Surface form Disambiguated ID Type / Status
Subject Asian New Zealander E10306 entity
Predicate language P15 FINISHED
Object Punjabi E3585 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: Punjabi | Statement: [Asian New Zealander, language, Punjabi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Punjabi
Context triple: [Asian New Zealander, language, Punjabi]
  • A. Punjabi language chosen
    Punjabi language is an Indo-Aryan language widely spoken in the Punjab region of India and Pakistan and among large diaspora communities worldwide.
  • B. Sindhi
    Sindhi is an Indo-Aryan language spoken primarily in Pakistan and India, known for its rich literary tradition and distinct script variants.
  • C. 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.
  • D. Sarnami Hindustani
    Sarnami Hindustani is a Hindi–Bhojpuri-based Indo-Aryan language developed among Indo-Caribbean communities, particularly in Suriname, from the speech of Indian indentured laborers.
  • E. Hindi
    Hindi is an Indo-Aryan language widely spoken across northern and central India and used in government, education, media, and popular culture.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f116f1b4819082f88d6c747368ae completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a481ee2e348190b26b02990b4fb866 completed March 1, 2026, 6:14 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.