Triple

T13591161
Position Surface form Disambiguated ID Type / Status
Subject Madikeri E324694 entity
Predicate hasAttraction P105 FINISHED
Object Gaddige
Gaddige is a historic royal tomb complex in Madikeri, Karnataka, known for its Indo-Islamic architecture and scenic hilltop setting.
E1050940 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: Gaddige | Statement: [Madikeri, hasAttraction, Gaddige]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gaddige
Context triple: [Madikeri, hasAttraction, Gaddige]
  • A. Ghedi
    Ghedi is a town in the Lombardy region of northern Italy, known historically as a site of military activity and today for its nearby Italian Air Force base.
  • B. Gadd
    Gadd is a surname most notably associated with British-Argentine actress Renee Gadd.
  • C. Girga
    Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
  • D. Gudia
    Gudia is an Indian film directed by acclaimed filmmaker Goutam Ghose, known for its sensitive storytelling and exploration of complex social and emotional themes.
  • E. Gilga
    Gilga is a production company known for its work on the television series "Swarm."
  • 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: Gaddige
Triple: [Madikeri, hasAttraction, Gaddige]
Generated description
Gaddige is a historic royal tomb complex in Madikeri, Karnataka, known for its Indo-Islamic architecture and scenic hilltop setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gaddige
Target entity description: Gaddige is a historic royal tomb complex in Madikeri, Karnataka, known for its Indo-Islamic architecture and scenic hilltop setting.
  • A. Ghedi
    Ghedi is a town in the Lombardy region of northern Italy, known historically as a site of military activity and today for its nearby Italian Air Force base.
  • B. Gadd
    Gadd is a surname most notably associated with British-Argentine actress Renee Gadd.
  • C. Girga
    Girga is an ancient town in Upper Egypt, historically significant as a regional center along the Nile.
  • D. Gudia
    Gudia is an Indian film directed by acclaimed filmmaker Goutam Ghose, known for its sensitive storytelling and exploration of complex social and emotional themes.
  • E. Gilga
    Gilga is a production company known for its work on the television series "Swarm."
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb056ce088190a6feb4266633d18b completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f8ffc508190a7bc69745c43a644 completed May 3, 2026, 5:02 p.m.
NEDg Description generation batch_69f78043e4dc8190a996cc14d1ba6d0b completed May 3, 2026, 5:05 p.m.
NED2 Entity disambiguation (via description) batch_69f780d1a4c48190afc8060c6e065e00 completed May 3, 2026, 5:07 p.m.
Created at: April 9, 2026, 9:49 p.m.