Triple

T23288276
Position Surface form Disambiguated ID Type / Status
Subject Bahraich district E589953 entity
Predicate region P40 FINISHED
Object Terai 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: Terai | Statement: [Bahraich district, region, Terai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terai
Context triple: [Bahraich district, region, Terai]
  • A. Terai chosen
    Terai is a low-lying, fertile plains region at the foothills of the Himalayas, known for its rich agriculture and distinctive ecology across parts of northern India and Nepal.
  • B. Pampean plain
    The Pampean plain is a vast, fertile lowland region in central Argentina known for its extensive grasslands and major agricultural production.
  • C. Bura-Pabir
    Bura-Pabir is a major West Chadic language spoken primarily in northeastern Nigeria by the Bura and Pabir ethnic groups.
  • D. Kolkheti Lowlands
    The Kolkheti Lowlands are a coastal plain region in western Georgia characterized by wetlands, rivers, and lakes along the Black Sea.
  • E. Chambal region
    The Chambal region is a ravine-scarred area along the Chambal River in central India, historically known for its rugged terrain, wildlife sanctuaries, and former notoriety as a hideout for dacoits.
  • 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_69e25d1af9d88190a0b9b5e8fa608618 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19649570c8190b565fafa55b1f886 completed April 29, 2026, 5:25 a.m.
Created at: April 17, 2026, 5 p.m.