Triple

T8601006
Position Surface form Disambiguated ID Type / Status
Subject Belagavi district E203672 entity
Predicate containsTown P847 FINISHED
Object Athani
Athani is a town in the Belagavi district of Karnataka, India, known for its agriculture and sugar industries.
 E744801 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: Athani | Statement: [Belagavi district, containsTown, Athani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Athani
Context triple: [Belagavi district, containsTown, Athani]
  • A. Asharh
    Asharh is a monsoon-season month in the Bengali calendar, typically spanning late June to mid-July in the Gregorian calendar.
  • B. Ahanta
    The Ahanta are an Akan-related ethnic group of coastal Ghana known historically for their involvement in Atlantic trade and rich fishing and farming traditions.
  • C. Ataroth
    Ataroth is an ancient Moabite town known from biblical texts and the Mesha Stele, associated with conflicts between Israel and Moab.
  • D. Atoni
    Atoni are an indigenous ethnic group of western Timor known for their traditional hierarchical social structure, distinctive architecture, and dryland farming culture.
  • E. Ashti
    Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
  • 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: Athani
Triple: [Belagavi district, containsTown, Athani]
Generated description
Athani is a town in the Belagavi district of Karnataka, India, known for its agriculture and sugar industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Athani
Target entity description: Athani is a town in the Belagavi district of Karnataka, India, known for its agriculture and sugar industries.
  • A. Asharh
    Asharh is a monsoon-season month in the Bengali calendar, typically spanning late June to mid-July in the Gregorian calendar.
  • B. Ahanta
    The Ahanta are an Akan-related ethnic group of coastal Ghana known historically for their involvement in Atlantic trade and rich fishing and farming traditions.
  • C. Ataroth
    Ataroth is an ancient Moabite town known from biblical texts and the Mesha Stele, associated with conflicts between Israel and Moab.
  • D. Atoni
    Atoni are an indigenous ethnic group of western Timor known for their traditional hierarchical social structure, distinctive architecture, and dryland farming culture.
  • E. Ashti
    Ashti is a town in the Wardha district of Maharashtra, India, known primarily as a local administrative and agricultural center.
  • 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_69ca832b56948190ba751cec255308f1 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cc46d8ff408190acc7cd8dc99b2689 completed March 31, 2026, 10:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea8f13f7081908317c1b2d87a51b2 completed April 2, 2026, 5:35 p.m.
NEDg Description generation batch_69cea9d0dad0819095134f6f8cafb4c0 completed April 2, 2026, 5:39 p.m.
NED2 Entity disambiguation (via description) batch_69ceaa7025388190a3f17aca46d4858e completed April 2, 2026, 5:42 p.m.
Created at: March 30, 2026, 6:24 p.m.