Triple

T1418153
Position Surface form Disambiguated ID Type / Status
Subject West Bengal E31965 entity
Predicate containsCity P294 FINISHED
Object Howrah E38476 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: Howrah | Statement: [West Bengal, containsCity, Howrah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howrah
Context triple: [West Bengal, containsCity, Howrah]
  • A. Howrah chosen
    Howrah is a major industrial city in the Indian state of West Bengal, located on the Hooghly River opposite Kolkata and known for the iconic Howrah Bridge and its busy railway junction.
  • B. Inwood
    Inwood is the northernmost neighborhood of Manhattan in New York City, known for its parks, residential character, and location at the tip of the island.
  • C. Fort William, Kolkata
    Fort William, Kolkata is a historic 18th-century fort on the eastern bank of the Hooghly River that now serves as the headquarters of the Eastern Command of the Indian Army.
  • D. Garden City
    Garden City is the popular nickname of Port Harcourt, a major oil-producing city in southern Nigeria known for its greenery and urban parks.
  • E. Garden City
    Garden City is a popular nickname for Bengaluru, highlighting its historic abundance of parks, trees, and green spaces.
  • 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_69a49919a994819086528951bc224775 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c404e92c8190bd018673383f4534 completed March 1, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69ace5857d6c8190902eecd7bb12cbaf completed March 8, 2026, 2:57 a.m.
Created at: March 1, 2026, 7:59 p.m.