Triple

T10817005
Position Surface form Disambiguated ID Type / Status
Subject Uttara Kannada district E255256 entity
Predicate hasTown P847 FINISHED
Object Ankola
Ankola is a coastal town in the Uttara Kannada district of Karnataka, India, known for its beaches, agriculture, and traditional Konkani and Kannada culture.
E887665 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: Ankola | Statement: [Uttara Kannada district, hasTown, Ankola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ankola
Context triple: [Uttara Kannada district, hasTown, Ankola]
  • A. Anuak
    The Anuak are a Nilotic ethnic group primarily inhabiting the Gambela region of western Ethiopia and parts of South Sudan, known for their agro-pastoral lifestyle and distinct language and culture.
  • B. Khanke
    Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
  • C. Ometo
    Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
  • D. Ankwe
    Ankwe is an alternative name for the Goemai people and their Chadic language spoken primarily in central Nigeria.
  • E. Moringua
    Moringua is a genus of slender, burrowing eels commonly known as spaghetti eels, found in tropical and subtropical marine waters.
  • 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: Ankola
Triple: [Uttara Kannada district, hasTown, Ankola]
Generated description
Ankola is a coastal town in the Uttara Kannada district of Karnataka, India, known for its beaches, agriculture, and traditional Konkani and Kannada culture.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ankola
Target entity description: Ankola is a coastal town in the Uttara Kannada district of Karnataka, India, known for its beaches, agriculture, and traditional Konkani and Kannada culture.
  • A. Anuak
    The Anuak are a Nilotic ethnic group primarily inhabiting the Gambela region of western Ethiopia and parts of South Sudan, known for their agro-pastoral lifestyle and distinct language and culture.
  • B. Khanke
    Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
  • C. Ometo
    Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
  • D. Ankwe
    Ankwe is an alternative name for the Goemai people and their Chadic language spoken primarily in central Nigeria.
  • E. Moringua
    Moringua is a genus of slender, burrowing eels commonly known as spaghetti eels, found in tropical and subtropical marine waters.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733eea03c8190a68f4d4f89f497a2 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69de855799748190b51745a198daa8d0 completed April 14, 2026, 6:20 p.m.
NEDg Description generation batch_69de8955b9d8819086ff98efbff6c7a0 completed April 14, 2026, 6:37 p.m.
NED2 Entity disambiguation (via description) batch_69de8f4a318c819086559fd53506ab29 completed April 14, 2026, 7:02 p.m.
Created at: April 8, 2026, 9:18 p.m.