Triple

T21188591
Position Surface form Disambiguated ID Type / Status
Subject Karauli district E522151 entity
Predicate borderedBy P224 FINISHED
Object Dausa 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: Dausa district | Statement: [Karauli district, borderedBy, Dausa district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dausa district
Context triple: [Karauli district, borderedBy, Dausa district]
  • A. Dausa district chosen
    Dausa district is an administrative district in the Indian state of Rajasthan, known for its historical sites, rural landscapes, and proximity to Jaipur.
  • B. Charikar District
    Charikar District is an administrative district in Afghanistan centered around the city of Charikar, known as the capital and main urban hub of Parwan Province.
  • C. Arhavi District
    Arhavi District is an administrative district in northeastern Turkey known for its lush Black Sea coastline and location within Artvin Province.
  • D. Fularji District
    Fularji District is an urban district of Qiqihar in Heilongjiang Province, China, known for its industrial base and role in the region’s heavy industry.
  • E. Andar District
    Andar District is an administrative district in southeastern Afghanistan known for its predominantly rural communities and history of conflict within Ghazni Province.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333403448190bcd9cc0805e414b5 completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:07 p.m.