Triple

T12118322
Position Surface form Disambiguated ID Type / Status
Subject Jaipur division E288623 entity
Predicate containsDistrict P22582 FINISHED
Object Dausa district E285055 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: Dausa district | Statement: [Jaipur division, containsDistrict, Dausa district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dausa district
Context triple: [Jaipur division, containsDistrict, 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. Arhavi District
    Arhavi District is an administrative district in northeastern Turkey known for its lush Black Sea coastline and location within Artvin Province.
  • C. Andar District
    Andar District is an administrative district in southeastern Afghanistan known for its predominantly rural communities and history of conflict within Ghazni Province.
  • D. Paryan District
    Paryan District is an administrative district located in the mountainous Panjshir Province of northeastern Afghanistan.
  • E. Reasi district
    Reasi district is an administrative region in the Indian union territory of Jammu and Kashmir, known for its hilly terrain, pilgrimage sites, and proximity to major infrastructure projects like the Chenab Rail Bridge.
  • 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_69d6ab4a5c448190a110d1273314b21a completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915760d208190b68f5e024b3676ba completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6684b79c48190a663e9f5504ba20c completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:49 p.m.