Triple

T7016005
Position Surface form Disambiguated ID Type / Status
Subject Kolkata Metro E162700 entity
Predicate notableStation P3858 FINISHED
Object Dum Dum E162678 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: Dum Dum | Statement: [Kolkata Metro, notableStation, Dum Dum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dum Dum
Context triple: [Kolkata Metro, notableStation, Dum Dum]
  • A. Dum Dum chosen
    Dum Dum is a suburban city near Kolkata in eastern India, known for housing the Netaji Subhas Chandra Bose International Airport and having a significant role in the region’s transport and industry.
  • B. Simi Hills
    Simi Hills is a low, rugged mountain range in Southern California known for its chaparral-covered slopes, scenic open space, and role as a natural corridor between the Santa Monica and Santa Susana Mountains.
  • C. South Dum Dum
    South Dum Dum is a suburban town in the North 24 Parganas district near Kolkata in the Indian state of West Bengal.
  • D. Damoh
    Damoh is a city in central India that serves as the administrative headquarters of Damoh district in the state of Madhya Pradesh.
  • E. Kalyan
    Kalyan is a major railway junction and suburban city in the Mumbai Metropolitan Region, serving as a key transit hub for long-distance and local trains in Maharashtra, India.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1d43e948190843f1cef3ce2004e completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c76a5655d48190a2df556f63add35d completed March 28, 2026, 5:42 a.m.
Created at: March 27, 2026, 2:34 p.m.