Triple

T7682346
Position Surface form Disambiguated ID Type / Status
Subject Chittagong Division E174026 entity
Predicate containsCity P294 FINISHED
Object Brahmanbaria E667480 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: Brahmanbaria | Statement: [Chittagong Division, containsCity, Brahmanbaria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brahmanbaria
Context triple: [Chittagong Division, containsCity, Brahmanbaria]
  • A. Brahmanbaria District chosen
    Brahmanbaria District is an administrative region in eastern Bangladesh known for its cultural heritage and historical significance.
  • B. Comilla
    Comilla is a major city in eastern Bangladesh known for its historical sites, educational institutions, and role as a regional commercial hub.
  • C. Jessore
    Jessore is a historic town and district in southwestern Bangladesh, known as one of the oldest administrative regions in the area and an important center for trade and culture.
  • D. Mymensingh
    Mymensingh is a historic city and district in central Bangladesh, known as an important administrative, educational, and cultural center along the Brahmaputra River.
  • E. Faridpur
    Faridpur is a historic town in central Bangladesh known for its cultural heritage and role in the Bengal Renaissance.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70201387c8190afc8479b5a9e21e8 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8dea25d2081908ebbf2bb5f94b7d6 completed March 29, 2026, 8:11 a.m.
Created at: March 27, 2026, 4:01 p.m.