Triple

T22659476
Position Surface form Disambiguated ID Type / Status
Subject Ramsagar National Park E559622 entity
Predicate locatedNear P294 FINISHED
Object Dinajpur town 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: Dinajpur town | Statement: [Ramsagar National Park, locatedNear, Dinajpur town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dinajpur town
Context triple: [Ramsagar National Park, locatedNear, Dinajpur town]
  • A. Dharmanagar
    Dharmanagar is a prominent town and municipal council in the North Tripura district of the Indian state of Tripura, serving as an important local commercial and administrative center.
  • B. Jamalpur
    Jamalpur is a town and administrative area in the Bardhaman region of West Bengal, India, known primarily as a local hub for surrounding rural communities.
  • C. Jamalpur
    Jamalpur is a city in central Bangladesh known as an important regional hub for agriculture and trade near the Jamuna River.
  • D. Dinajpur chosen
    Dinajpur is a historic city and district in northern Bangladesh known for its rich cultural heritage, ancient temples, and agricultural significance.
  • E. Hemayetpur
    Hemayetpur is a locality in the Pabna District of Bangladesh known for housing the country’s only government-run specialized mental health hospital.
  • 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_69e2454a158c819093b8e35f5045efb6 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1765dc9088190b022ac564a8b5c26 completed April 29, 2026, 3:09 a.m.
Created at: April 17, 2026, 3:07 p.m.