Triple

T13591164
Position Surface form Disambiguated ID Type / Status
Subject Madikeri E324694 entity
Predicate alternateName P39 FINISHED
Object Mercara
Mercara is the former anglicized name for Madikeri, a hill town and district headquarters in the Coorg (Kodagu) region of Karnataka, India.
 E1048367 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: Mercara | Statement: [Madikeri, alternateName, Mercara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mercara
Context triple: [Madikeri, alternateName, Mercara]
  • A. Marut
    Marut is a group of storm deities in Hindu mythology, often associated with thunder, wind, and the god Indra.
  • B. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • C. Roatta
    Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
  • D. Landi Kotal
    Landi Kotal is a town in Pakistan’s Khyber District, historically significant as a key trading and military post near the Khyber Pass on the route to Afghanistan.
  • E. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • 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: Mercara
Triple: [Madikeri, alternateName, Mercara]
Generated description
Mercara is the former anglicized name for Madikeri, a hill town and district headquarters in the Coorg (Kodagu) region of Karnataka, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mercara
Target entity description: Mercara is the former anglicized name for Madikeri, a hill town and district headquarters in the Coorg (Kodagu) region of Karnataka, India.
  • A. Marut
    Marut is a group of storm deities in Hindu mythology, often associated with thunder, wind, and the god Indra.
  • B. Citura
    Citura is the public transport operator responsible for managing Reims’ urban transit network, including its tramway system, in northeastern France.
  • C. Roatta
    Roatta is an Italian surname most notably borne by Mario Roatta, a general in the Royal Italian Army during World War II.
  • D. Landi Kotal
    Landi Kotal is a town in Pakistan’s Khyber District, historically significant as a key trading and military post near the Khyber Pass on the route to Afghanistan.
  • E. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • 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_69f76bc578908190abd5cca94b1c3a5c completed May 3, 2026, 3:37 p.m.
NEDg Description generation batch_69f77642e4b881909915c686a0d6c6fa completed May 3, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_69f7791add908190af69b23a54eb7560 completed May 3, 2026, 4:34 p.m.
Created at: April 9, 2026, 9:49 p.m.