Triple

T21418607
Position Surface form Disambiguated ID Type / Status
Subject Rama E528371 entity
Predicate cultCenter P9995 FINISHED
Object Bhadrachalam 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: Bhadrachalam | Statement: [Rama, cultCenter, Bhadrachalam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhadrachalam
Context triple: [Rama, cultCenter, Bhadrachalam]
  • A. Bhadrachalam chosen
    Bhadrachalam is a temple town in Telangana, India, renowned for its major Sri Rama temple and its location along the banks of the Godavari River.
  • B. Warangal
    Warangal is a historic city in southern India known for its Kakatiya-era forts, temples, and monuments, and is one of the major urban centers of the state of Telangana.
  • C. Kondapur
    Kondapur is a rapidly developing residential and commercial suburb in Hyderabad, India, known for its proximity to major IT hubs and tech parks.
  • D. Ravulapalem
    Ravulapalem is a town in the Indian state of Andhra Pradesh, known for its agricultural markets and location along key transport routes in the Godavari region.
  • E. Dundigal
    Dundigal is a suburban area near Hyderabad in Telangana, India, known primarily for hosting the Indian Air Force Academy.
  • 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_69e0c454c248819093425d1099101c09 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ee62d29f948190b820c92014d1c53a completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:46 p.m.