Triple

T13867968
Position Surface form Disambiguated ID Type / Status
Subject Ramanagara district E333376 entity
Predicate hasTown P847 FINISHED
Object Bidadi
Bidadi is a rapidly developing town near Bengaluru in Karnataka, India, known for its industrial hubs, educational institutions, and popular local eateries.
 E1066278 NE FINISHED

How this triple was built (4 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: Bidadi | Statement: [Ramanagara district, hasTown, Bidadi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bidadi
Context triple: [Ramanagara district, hasTown, Bidadi]
  • A. Bariadi
    Bariadi is a town in northern Tanzania that serves as an important local administrative and commercial center.
  • B. Kadaru
    Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
  • C. Byari
    Byari is a Dravidian language spoken primarily by the Beary Muslim community in coastal Karnataka, India.
  • D. Badugu
    Badugu is an alternative name for the Badaga language, a Southern Dravidian language spoken primarily by the Badaga community in the Nilgiri Hills of Tamil Nadu, India.
  • E. Baddo
    Baddo was a Visigothic queen consort, known as the wife of King Reccared I of the Visigoths in late 6th-century Hispania.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bidadi
Triple: [Ramanagara district, hasTown, Bidadi]
Generated description
Bidadi is a rapidly developing town near Bengaluru in Karnataka, India, known for its industrial hubs, educational institutions, and popular local eateries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bidadi
Target entity description: Bidadi is a rapidly developing town near Bengaluru in Karnataka, India, known for its industrial hubs, educational institutions, and popular local eateries.
  • A. Bariadi
    Bariadi is a town in northern Tanzania that serves as an important local administrative and commercial center.
  • B. Kadaru
    Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
  • C. Byari
    Byari is a Dravidian language spoken primarily by the Beary Muslim community in coastal Karnataka, India.
  • D. Badugu
    Badugu is an alternative name for the Badaga language, a Southern Dravidian language spoken primarily by the Badaga community in the Nilgiri Hills of Tamil Nadu, India.
  • E. Baddo
    Baddo was a Visigothic queen consort, known as the wife of King Reccared I of the Visigoths in late 6th-century Hispania.
  • F. None of above. chosen

Provenance (5 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c530148190b11704300bbd5f9b completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c1039128819086cfe9f966b9f142 completed May 3, 2026, 9:41 p.m.
NEDg Description generation batch_69f7c1e7efd88190ac07472647da69e7 completed May 3, 2026, 9:45 p.m.
NED2 Entity disambiguation (via description) batch_69f7c3396f7c8190987079bf24ac8695 completed May 3, 2026, 9:50 p.m.
Created at: April 9, 2026, 10:14 p.m.