Triple

T20417365
Position Surface form Disambiguated ID Type / Status
Subject Kolkata E500747 entity
Predicate nickname P55 FINISHED
Object City of Joy 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: City of Joy | Statement: [Kolkata, nickname, City of Joy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Joy
Context triple: [Kolkata, nickname, City of Joy]
  • A. City of Joy chosen
    City of Joy is a 1992 drama film set in the slums of Calcutta, exploring themes of poverty, hope, and human resilience.
  • B. City of Color
    City of Color is an energetic, pop-inspired song by the Squid Sisters featured prominently in the Splatoon video game series.
  • C. City of Life
    City of Life is a 2009 multilingual ensemble drama film set in Dubai that explores intersecting lives across the city's diverse social and cultural strata.
  • D. The City with a Heart
    The City with a Heart is the affectionate nickname for Loves Park, Illinois, highlighting its friendly community spirit and welcoming character.
  • E. Shining City
    "Shining City" is a critically acclaimed stage play by Irish dramatist Conor McPherson, often noted for its haunting exploration of guilt and the supernatural.
  • 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_69e0b4a935588190b9446a99b37ced44 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e67a44ecf48190ba5a3872af500dc8 completed April 20, 2026, 7:11 p.m.
Created at: April 16, 2026, 11:30 a.m.