Triple

T7640106
Position Surface form Disambiguated ID Type / Status
Subject Rajshahi Railway Station E172977 entity
Predicate connectsTo P845 FINISHED
Object Pabna E118916 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: Pabna | Statement: [Rajshahi Railway Station, connectsTo, Pabna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pabna
Context triple: [Rajshahi Railway Station, connectsTo, Pabna]
  • A. Pabna chosen
    Pabna is a town and district in present-day Bangladesh, historically part of British India's Bengal region and known for its role in agrarian movements and regional administration.
  • B. Lakhipur
    Lakhipur is a notable town in the Indian state of Assam, recognized as one of the main urban centers within Cachar district.
  • C. Dinajpur
    Dinajpur is a historic city and district in northern Bangladesh known for its rich cultural heritage, ancient temples, and agricultural significance.
  • D. Gopalganj
    Gopalganj is a town and administrative center in the northern Indian state of Bihar, known primarily for its agricultural economy and role as a local commercial hub.
  • E. Baripada
    Baripada is a prominent town and district headquarters in the Mayurbhanj district of Odisha, India, known for its cultural heritage and proximity to the Simlipal National Park.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6facc4b5481908697e662b0991e3f completed March 27, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac8fdfe88190a535bf050eff5abb completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 3:57 p.m.