Triple

T19194567
Position Surface form Disambiguated ID Type / Status
Subject Rohtas district E469932 entity
Predicate borderedBy P224 FINISHED
Object Kaimur 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: Kaimur district | Statement: [Rohtas district, borderedBy, Kaimur district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaimur district
Context triple: [Rohtas district, borderedBy, Kaimur district]
  • A. Kaimur district chosen
    Kaimur district is an administrative region in the Indian state of Bihar, known for its rugged terrain, forested hills, and rich archaeological and cultural heritage.
  • B. Bhadohi district
    Bhadohi district is a district in the Indian state of Uttar Pradesh, widely known as a major center for carpet weaving and textile production.
  • C. Samastipur district
    Samastipur district is an administrative region in the Indian state of Bihar, known for its agricultural economy and cultural use of the Maithili language.
  • D. Hardoi district
    Hardoi district is an administrative district in the Indian state of Uttar Pradesh, known for its predominantly agricultural landscape and location in the central part of the state.
  • E. Jhalokati District
    Jhalokati District is an administrative district in southern Bangladesh known for its rivers, agriculture, and location within the Barisal region of the country.
  • 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_69d8dd0ad9088190a173b32657ae2e7a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f8a4d6b4819083fc5dd4dab05811 completed April 20, 2026, 9:57 a.m.
Created at: April 10, 2026, 12:07 p.m.