Triple

T15428464
Position Surface form Disambiguated ID Type / Status
Subject Madhesh Province E369573 entity
Predicate geographicalRegion P3227 FINISHED
Object Terai E162694 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: Terai | Statement: [Madhesh Province, geographicalRegion, Terai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terai
Context triple: [Madhesh Province, geographicalRegion, 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. 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.
  • E. Kalahandi
    Kalahandi is a district in the Indian state of Odisha, known for its agrarian economy, tribal population, and history of both rich cultural heritage and severe drought-related poverty.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a8099448190be71f7b649c7e545 completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:20 a.m.