Triple

T1437105
Position Surface form Disambiguated ID Type / Status
Subject Pohela Boishakh E30580 entity
Predicate hasMajorEventAt P22468 FINISHED
Object Chattogram E31967 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: Chattogram | Statement: [Pohela Boishakh, hasMajorEventAt, Chattogram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chattogram
Context triple: [Pohela Boishakh, hasMajorEventAt, Chattogram]
  • A. Chittagong chosen
    Chittagong is a major coastal city and Bangladesh’s principal seaport, known for its bustling maritime trade and industrial significance.
  • B. Dhaka
    Dhaka is the capital and largest city of Bangladesh, serving as the country’s political, economic, and cultural center.
  • C. Rajshahi
    Rajshahi is a prominent city in western Bangladesh, known as an important cultural, educational, and commercial center of the Bengal region.
  • D. Dhaka District
    Dhaka District is an administrative region in central Bangladesh that encompasses the nation’s capital city and serves as a major political, economic, and cultural hub.
  • E. Sylhet
    Sylhet is a historically and culturally significant city and region in northeastern Bangladesh, known for its tea gardens, lush landscapes, and role as a major economic and spiritual center.
  • 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_69a498fc69ec8190b61722bd4b67c4d2 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c9df014081908a6e2f41ba012ecc completed March 1, 2026, 11:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad2328670c819087a2d8b047b67ee8 completed March 8, 2026, 7:20 a.m.
Created at: March 1, 2026, 8 p.m.