Triple

T21668300
Position Surface form Disambiguated ID Type / Status
Subject Dhaka University area E534777 entity
Predicate adjacentTo P224 FINISHED
Object New Market area 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: New Market area | Statement: [Dhaka University area, adjacentTo, New Market area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: New Market area
Context triple: [Dhaka University area, adjacentTo, New Market area]
  • A. New Market area
    New Market area is a historic and bustling commercial district in central Kolkata, India, known for its crowded bazaars, diverse shops, and vibrant street life.
  • B. New Market
    New Market is a historic town in Virginia best known as the site of the 1864 Civil War Battle of New Market.
  • C. New Market
    New Market was the original 19th-century settlement that later became the city of Tumwater in present-day Washington State.
  • D. New Market
    New Market is a small town in eastern Tennessee that forms part of the Knoxville metropolitan area.
  • E. New Market chosen
    New Market is a historic and bustling shopping district in central Kolkata, India, known for its colonial-era architecture and wide variety of goods.
  • 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_69e0c46898008190aa618a4af55bd1ee completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0e008c8190a549d275b1c98e0b completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:37 p.m.