Triple

T19608607
Position Surface form Disambiguated ID Type / Status
Subject Jalandhar division E470669 entity
Predicate partOf P40 FINISHED
Object state of Punjab 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: state of Punjab | Statement: [Jalandhar division, partOf, state of Punjab]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: state of Punjab
Context triple: [Jalandhar division, partOf, state of Punjab]
  • A. Punjab chosen
    Punjab is a historically and culturally rich region of South Asia, known for its fertile agricultural lands, Sikh heritage, and partition between modern-day India and Pakistan.
  • B. Panjab
    Panjab is a town in Afghanistan’s Hazarajat region that serves as an important local center within Bamyan Province.
  • C. southwestern Punjab
    Southwestern Punjab is a region in the Indian state of Punjab known for its arid plains, agricultural economy, and proximity to the India–Pakistan border.
  • D. Malwa region of Punjab
    The Malwa region of Punjab is a major geographical and cultural area in southern Punjab, India, known for its fertile plains, rich agricultural output, and distinct dialect and traditions.
  • E. Gujrat
    Gujrat is a city in Pakistan’s Punjab province known for its industrial activity, historical significance, and position along the Grand Trunk Road between Lahore and Islamabad.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640c964fc8190bd1cb60f4b233eaa completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.