Triple

T7044970
Position Surface form Disambiguated ID Type / Status
Subject Pattadakal E163608 entity
Predicate nearbySite P350 FINISHED
Object Badami E201601 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: Badami | Statement: [Pattadakal, nearbySite, Badami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badami
Context triple: [Pattadakal, nearbySite, Badami]
  • A. Badami chosen
    Badami is a historic town in Karnataka, India, renowned for its rock-cut cave temples and ancient Chalukyan architecture.
  • B. Dahanapura
    Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
  • C. Pachora
    Pachora is a town in the Jalgaon district of Maharashtra, India, known as a local commercial and agricultural center in the region.
  • D. Tamralipti
    Tamralipti was an ancient and prominent port city on the eastern coast of the Indian subcontinent that served as a key maritime hub for trade and cultural exchange between India and Southeast Asia.
  • E. Talagunda
    Talagunda is an ancient village in Karnataka, India, renowned for its early Kadamba dynasty inscriptions that are crucial to the study of South Indian history and scripts.
  • 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_69c6885f598c8190b6b6495c59d8d962 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e23730888190a827ca5c61c4eed0 completed March 27, 2026, 8:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7887799f48190b4fa311defd8e9fd completed March 28, 2026, 7:51 a.m.
Created at: March 27, 2026, 2:37 p.m.