Triple

T1418345
Position Surface form Disambiguated ID Type / Status
Subject Hooghly River E31966 entity
Predicate nearbyCity P350 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: [Hooghly River, nearbyCity, Howrah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Howrah
Context triple: [Hooghly River, nearbyCity, 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. 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.
  • C. Darjeeling
    Darjeeling is a famous hill station in the Indian Himalayas renowned for its tea plantations, scenic mountain views, and colonial-era charm.
  • D. 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.
  • E. Vailsburg
    Vailsburg is a primarily residential neighborhood in the West Ward of Newark, New Jersey, known for its diverse community and tree-lined streets.
  • 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_69ad0e6a09bc8190a9c67ec42c187340 completed March 8, 2026, 5:51 a.m.
Created at: March 1, 2026, 7:59 p.m.