Triple

T13901516
Position Surface form Disambiguated ID Type / Status
Subject Matte di Sarai E334232 entity
Predicate locatedIn P40 FINISHED
Object Punjab, India E2323 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: Punjab, India | Statement: [Matte di Sarai, locatedIn, Punjab, India]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Punjab, India
Context triple: [Matte di Sarai, locatedIn, Punjab, India]
  • 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. 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.
  • D. Haryana
    Haryana is a northern Indian state known for its significant agricultural output, rapid industrial growth, and proximity to the national capital, New Delhi.
  • E. Punjab, Pakistan
    Punjab, Pakistan is a populous and agriculturally rich province in eastern Pakistan, known for its cultural heritage, Punjabi language, and role as the country’s political and economic heartland.
  • 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_69d81c5eaa9c819083b1ff8689179565 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de25d9c7a48190ad8fb0ca676f4f7b completed April 14, 2026, 11:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac8401b88190a2e87dbdf1bbaee2 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:15 p.m.