Triple

T17788198
Position Surface form Disambiguated ID Type / Status
Subject Araria E444077 entity
Predicate district P2709 FINISHED
Object Araria district 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: Araria district | Statement: [Araria, district, Araria district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Araria district
Context triple: [Araria, district, Araria district]
  • A. Araria district chosen
    Araria district is an administrative district in the northeastern part of Bihar, India, known for its agrarian economy and proximity to the India–Nepal border.
  • B. Sunsari District
    Sunsari District is an administrative district in southeastern Nepal known for its fertile Terai plains, growing urban centers like Itahari and Inaruwa, and diverse cultural communities.
  • C. Magura District
    Magura District is an administrative region in southwestern Bangladesh known for its agricultural economy and location within the Khulna Division.
  • D. Tani District
    Tani District is an administrative district located within Khost Province in southeastern Afghanistan, near the border with Pakistan.
  • E. Kamonyi District
    Kamonyi District is an administrative district in Rwanda’s Southern Province, located just south of Kigali and known for its largely rural communities and agricultural activities.
  • 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_69d8b9ef17708190bdf7e2adbf14ddc2 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48794542c8190b049bce6e28c9f3a completed April 19, 2026, 7:43 a.m.
Created at: April 10, 2026, 10:12 a.m.