Triple

T7602258
Position Surface form Disambiguated ID Type / Status
Subject Bhola District E180009 entity
Predicate hasIsland P970 FINISHED
Object Bhola Island E670295 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: Bhola Island | Statement: [Bhola District, hasIsland, Bhola Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhola Island
Context triple: [Bhola District, hasIsland, Bhola Island]
  • A. Bhola Island chosen
    Bhola Island is the largest island of Bangladesh, situated in the Meghna River estuary and known for its vulnerable, low-lying deltaic landscape frequently affected by cyclones and erosion.
  • B. Mahim Island
    Mahim Island was a former separate landmass that became part of the larger island conglomerate forming present-day Mumbai, India.
  • C. Rabi Island
    Rabi Island is a Fijian island best known as the home of the Banaban people, who were resettled there from Banaba in the mid-20th century.
  • D. Nijhum Dwip
    Nijhum Dwip is a remote, ecologically rich island in Bangladesh known for its mangrove forests, wildlife sanctuary, and tranquil, undeveloped beaches.
  • E. Buggala Island
    Buggala Island is the largest and most developed of Uganda’s Ssese Islands in Lake Victoria, known for its beaches, resorts, and role as a regional tourism hub.
  • 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_69c69f3567008190ab01d2ca7b53584a completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f9f8e7848190b44d9c16b9c95d37 completed March 27, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8684a98fc8190b3d0568f13ccd123 completed March 28, 2026, 11:46 p.m.
Created at: March 27, 2026, 3:54 p.m.