Triple

T18725212
Position Surface form Disambiguated ID Type / Status
Subject North Canara E457881 entity
Predicate hasTown P847 FINISHED
Object Ankola NE NERFINISHED

How this triple was built (2 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: [North Canara, hasTown, Ankola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ankola
Context triple: [North Canara, hasTown, Ankola]
  • A. Ankola chosen
    Ankola is a coastal town in the Uttara Kannada district of Karnataka, India, known for its beaches, agriculture, and traditional Konkani and Kannada culture.
  • B. 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.
  • C. Ondavka
    Ondavka is a small river in eastern Slovakia that serves as a tributary of the Ondava River.
  • D. Khanke
    Khanke is a village in northern Iraq’s Kurdistan Region, known for hosting large camps for internally displaced Yazidis who fled ISIS violence.
  • E. Ometo
    Ometo is a branch of the Omotic language family spoken in southwestern Ethiopia, encompassing several closely related languages and dialects.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d72d2c4819080b0d31860976b5e completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:50 a.m.