Triple

T7570225
Position Surface form Disambiguated ID Type / Status
Subject Bagalkot district E179219 entity
Predicate containsTown P847 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: [Bagalkot district, containsTown, Badami]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Badami
Context triple: [Bagalkot district, containsTown, 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. Daimabad
    Daimabad is an archaeological site in Maharashtra, India, notable for its late Harappan (Indus Valley Civilization) remains and distinctive Bronze Age artifacts.
  • 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_69c69f316e50819081a271c85c06f918 completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f920540c8190817712db5aa3eeff completed March 27, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8616207f88190834dc2412001af3f completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:51 p.m.