Triple

T18887111
Position Surface form Disambiguated ID Type / Status
Subject Bijapur E461984 entity
Predicate hasOfficialName P66 FINISHED
Object Vijayapura 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: Vijayapura | Statement: [Bijapur, hasOfficialName, Vijayapura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vijayapura
Context triple: [Bijapur, hasOfficialName, Vijayapura]
  • A. Vijayapura chosen
    Vijayapura is a historic city in the Indian state of Karnataka, renowned for its rich Deccan-era architecture and monuments such as the Gol Gumbaz.
  • B. Kanakapura
    Kanakapura is a town in the Indian state of Karnataka known for its granite and silk industries and its proximity to scenic forested and hilly landscapes.
  • C. Vimanapura
    Vimanapura is a residential and institutional neighborhood in eastern Bengaluru, India, known for its proximity to the old HAL Airport and several aerospace and defense establishments.
  • D. Krishnarajapuram
    Krishnarajapuram is a major railway hub and suburban area in Bengaluru, India, serving as an important junction for regional and long-distance train services.
  • E. Gadag
    Gadag is a historic town in Karnataka, India, renowned for its richly carved medieval temples and monuments from the Western Chalukya architectural tradition.
  • 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_69d8dcfc3430819095ee6fc0eb4c06a5 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5c4777434819098850da0ee1c6b43 completed April 20, 2026, 6:15 a.m.
Created at: April 10, 2026, 11:58 a.m.