Triple

T19522793
Position Surface form Disambiguated ID Type / Status
Subject Esplanade, Kolkata E488442 entity
Predicate hasLandmark P105 FINISHED
Object New Market — 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 | Statement: [Esplanade, Kolkata, hasLandmark, New Market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: New Market
Context triple: [Esplanade, Kolkata, hasLandmark, New Market]
  • A. New Market
    New Market is a small town in eastern Tennessee that forms part of the Knoxville metropolitan area.
  • B. New Market
    New Market was the original 19th-century settlement that later became the city of Tumwater in present-day Washington State.
  • C. 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.
  • D. New Market
    New Market is a historic town in Virginia best known as the site of the 1864 Civil War Battle of New Market.
  • E. 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.
  • 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_69d8e8da8bec819081f400199491ccc3 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635a1ae9881908dfdcc94490c57aa completed April 20, 2026, 2:18 p.m.
Created at: April 10, 2026, 1:40 p.m.