Triple

T22938437
Position Surface form Disambiguated ID Type / Status
Subject Companiganj Upazila E569649 entity
Predicate hasPostalSystem P14969 FINISHED
Object Bangladesh Post 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: Bangladesh Post | Statement: [Companiganj Upazila, hasPostalSystem, Bangladesh Post]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bangladesh Post
Context triple: [Companiganj Upazila, hasPostalSystem, Bangladesh Post]
  • A. Bangladesh Post chosen
    Bangladesh Post is the state-run postal service of Bangladesh, providing mail delivery, financial services, and related communications infrastructure across the country.
  • B. India Post
    India Post is the government-operated postal system of India, providing mail, financial, and retail services across an extensive nationwide network.
  • C. Pakistan Post
    Pakistan Post is the state-owned postal and courier service of Pakistan, providing mail, logistics, and financial services across the country.
  • D. Bhutan Postal Corporation
    Bhutan Postal Corporation is the national postal service of Bhutan, responsible for mail delivery, philately, and related logistics across the country.
  • E. Sri Lanka Post
    Sri Lanka Post is the national postal service of Sri Lanka, providing mail delivery, logistics, and related services across the country.
  • 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181378660819083239986c846ec17 completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:45 p.m.