Triple

T12749143
Position Surface form Disambiguated ID Type / Status
Subject Kingdom of Mrauk U E304684 entity
Predicate borderedBy P224 FINISHED
Object Bengal E4840 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: Bengal | Statement: [Kingdom of Mrauk U, borderedBy, Bengal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bengal
Context triple: [Kingdom of Mrauk U, borderedBy, Bengal]
  • A. Bengal chosen
    Bengal is a historical and cultural region in the eastern part of the Indian subcontinent, known for its rich literary, artistic, and political heritage and now divided between Bangladesh and the Indian state of West Bengal.
  • B. Bengal
    The Bengal is a tiger-themed school mascot commonly used to represent athletic teams and school spirit.
  • C. Bangála
    Bangála is an alternative name for Bangala, which can refer to various places, languages, or cultural entities associated with Central or West Africa depending on context.
  • D. Banga
    Banga is a town in present-day Pakistan’s Punjab region, historically notable as the birthplace of Indian revolutionary Bhagat Singh.
  • E. Banga
    Banga is a 2012 studio album by American musician and poet Patti Smith that blends rock, poetry, and literary references.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96bd75f508190aaae0969f33d1523 completed April 10, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69f67c964c508190b4d6a094b388280b completed May 2, 2026, 10:37 p.m.
Created at: April 9, 2026, 5:27 p.m.