Triple

T7525124
Position Surface form Disambiguated ID Type / Status
Subject Tenali Ramakrishna E177871 entity
Predicate placeOfActivity P1527 FINISHED
Object Hampi E161551 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: Hampi | Statement: [Tenali Ramakrishna, placeOfActivity, Hampi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hampi
Context triple: [Tenali Ramakrishna, placeOfActivity, Hampi]
  • A. Hampi chosen
    Hampi is an ancient ruined city in Karnataka, India, famed for its monumental Hindu temples and as the former capital of the Vijayanagara Empire.
  • B. Belur
    Belur is a locality in the Howrah district of West Bengal, India, known for its proximity to the Hooghly River and the famous Belur Math.
  • C. Belur
    Belur is a historic town in Karnataka, India, renowned for its exquisite Hoysala-era temple architecture, especially the Chennakeshava Temple.
  • D. Badami
    Badami is a historic town in Karnataka, India, renowned for its rock-cut cave temples and ancient Chalukyan architecture.
  • E. Melkote
    Melkote is a historic temple town in Karnataka, India, renowned as a major Vaishnavite pilgrimage center and seat of the Cheluvanarayana Swamy and Yoga Narasimha temples.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c7ac5c8190bbf9befdff791de0 completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84efebd7081908fd33580b399a39b completed March 28, 2026, 9:58 p.m.
Created at: March 27, 2026, 3:46 p.m.