Triple

T115236
Position Surface form Disambiguated ID Type / Status
Subject Punjab E2323 entity
Predicate knownFor P22 FINISHED
Object Punjabi language 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 language | Statement: [Punjab, knownFor, Punjabi language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Punjabi language
Context triple: [Punjab, knownFor, Punjabi language]
  • 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. Urdu language
    Urdu is a major South Asian language, written in a Perso-Arabic script and widely used in Pakistan and parts of India in literature, media, and everyday communication.
  • D. Gurmukhi
    Gurmukhi is an Indic writing system primarily used for the Punjabi language and for recording Sikh religious scriptures.
  • 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_69a2506c5428819085c28a8884790e29 completed Feb. 28, 2026, 2:18 a.m.
NER Named-entity recognition batch_69a256f1278881909dc9c17113d2cca2 completed Feb. 28, 2026, 2:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69a29e47972c819084658ada85db97d3 completed Feb. 28, 2026, 7:50 a.m.
Created at: Feb. 28, 2026, 2:24 a.m.