Triple

T20095578
Position Surface form Disambiguated ID Type / Status
Subject Kegalle E496390 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Uthuwankanda
Uthuwankanda is a prominent mountain in Sri Lanka famed for its scenic views and its association with the legendary bandit Saradiel.
E1411986 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: Uthuwankanda | Statement: [Kegalle, hasNearbyAttraction, Uthuwankanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Uthuwankanda
Context triple: [Kegalle, hasNearbyAttraction, Uthuwankanda]
  • A. Ukunda
    Ukunda is a coastal town in Kenya near Diani Beach, known as a popular tourist destination with a small airstrip serving regional flights.
  • B. Ukuwela
    Ukuwela is a town in Sri Lanka’s Central Province, known as a local hub within the Matale District.
  • C. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • D. Kadawatha
    Kadawatha is a rapidly developing suburban town in Sri Lanka’s Western Province, known as a key transport hub on the outskirts of Colombo.
  • E. Kiasutha
    Kiasutha is an alternative name for Guyasuta, a prominent 18th-century Seneca leader and diplomat involved in key events of the French and Indian War and early American history.
  • 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: Uthuwankanda
Triple: [Kegalle, hasNearbyAttraction, Uthuwankanda]
Generated description
Uthuwankanda is a prominent mountain in Sri Lanka famed for its scenic views and its association with the legendary bandit Saradiel.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Uthuwankanda
Target entity description: Uthuwankanda is a prominent mountain in Sri Lanka famed for its scenic views and its association with the legendary bandit Saradiel.
  • A. Ukunda
    Ukunda is a coastal town in Kenya near Diani Beach, known as a popular tourist destination with a small airstrip serving regional flights.
  • B. Ukuwela
    Ukuwela is a town in Sri Lanka’s Central Province, known as a local hub within the Matale District.
  • C. Musanze
    Musanze is a major town in northern Rwanda that serves as the primary gateway for tourists visiting Volcanoes National Park and its mountain gorillas.
  • D. Kadawatha
    Kadawatha is a rapidly developing suburban town in Sri Lanka’s Western Province, known as a key transport hub on the outskirts of Colombo.
  • E. Kiasutha
    Kiasutha is an alternative name for Guyasuta, a prominent 18th-century Seneca leader and diplomat involved in key events of the French and Indian War and early American history.
  • 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_69da626eee3881909f3454986d4a6511 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6666b891c8190b4e4a60b73728771 completed April 20, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a082709bec8819085418d3d93108d81 completed May 16, 2026, 8:12 a.m.
NEDg Description generation batch_6a08287484c4819089414c2780377ba7 completed May 16, 2026, 8:19 a.m.
NED2 Entity disambiguation (via description) batch_6a082a4275e48190b6643e43399d97af completed May 16, 2026, 8:26 a.m.
Created at: April 11, 2026, 11:24 p.m.