Triple

T17081241
Position Surface form Disambiguated ID Type / Status
Subject Kasargod district E414472 entity
Predicate hasMajorTown P316 FINISHED
Object Kanhangad
Kanhangad is a coastal town in the Indian state of Kerala known for its temples, beaches, and proximity to the Bekal Fort area.
 E1250209 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: Kanhangad | Statement: [Kasargod district, hasMajorTown, Kanhangad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kanhangad
Context triple: [Kasargod district, hasMajorTown, Kanhangad]
  • A. Kundagannada
    Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
  • B. Chambiali
    Chambiali is an Indo-Aryan language variety spoken in parts of the Himachal Pradesh region of northern India.
  • C. Kalaru
    Kalaru is a small rural town in New South Wales, Australia, located near the coastal city of Bega in the Bega Valley region.
  • D. Kandaghat
    Kandaghat is a small town and hill station in Himachal Pradesh, India, known as a gateway to nearby destinations like Chail and Shimla.
  • E. Kamshet
    Kamshet is a scenic hill-station and paragliding destination in Maharashtra’s Western Ghats, known for its lakes, forts, and rural landscapes.
  • 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: Kanhangad
Triple: [Kasargod district, hasMajorTown, Kanhangad]
Generated description
Kanhangad is a coastal town in the Indian state of Kerala known for its temples, beaches, and proximity to the Bekal Fort area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kanhangad
Target entity description: Kanhangad is a coastal town in the Indian state of Kerala known for its temples, beaches, and proximity to the Bekal Fort area.
  • A. Kundagannada
    Kundagannada is a regional dialect of the Kannada language spoken primarily in the coastal districts of Karnataka, India.
  • B. Chambiali
    Chambiali is an Indo-Aryan language variety spoken in parts of the Himachal Pradesh region of northern India.
  • C. Kalaru
    Kalaru is a small rural town in New South Wales, Australia, located near the coastal city of Bega in the Bega Valley region.
  • D. Kandaghat
    Kandaghat is a small town and hill station in Himachal Pradesh, India, known as a gateway to nearby destinations like Chail and Shimla.
  • E. Kamshet
    Kamshet is a scenic hill-station and paragliding destination in Maharashtra’s Western Ghats, known for its lakes, forts, and rural landscapes.
  • 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_69d886cef44c8190ba56c44b4e863e64 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbe2fe7c819099ab0586b1a119f6 completed April 18, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ee416c4819087e7ae0ead47867a completed May 11, 2026, 1:20 a.m.
NEDg Description generation batch_6a01323dd9188190981d6994a8d1a89e completed May 11, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_6a0136310e808190a0d350ae7f216d93 completed May 11, 2026, 1:51 a.m.
Created at: April 10, 2026, 5:34 a.m.