Triple

T18935406
Position Surface form Disambiguated ID Type / Status
Subject Matale District E463230 entity
Predicate contains P35 FINISHED
Object Ukuwela
Ukuwela is a town in Sri Lanka’s Central Province, known as a local hub within the Matale District.
E1350009 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: Ukuwela | Statement: [Matale District, contains, Ukuwela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ukuwela
Context triple: [Matale District, contains, Ukuwela]
  • 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. Ubulu-Uku
    Ubulu-Uku is a town in Delta State, Nigeria, known as one of the traditional Igbo communities within the Aniocha region.
  • C. Uklana
    Uklana is a legislative assembly constituency in the Indian state of Haryana, represented within the Hisar Lok Sabha parliamentary seat.
  • D. Ukaan
    Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
  • E. Ngundu
    Ngundu is a small settlement in southern Zimbabwe that serves as a roadside stop and trading center along major routes between Harare and Beitbridge.
  • 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: Ukuwela
Triple: [Matale District, contains, Ukuwela]
Generated description
Ukuwela is a town in Sri Lanka’s Central Province, known as a local hub within the Matale District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ukuwela
Target entity description: Ukuwela is a town in Sri Lanka’s Central Province, known as a local hub within the Matale District.
  • 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. Ubulu-Uku
    Ubulu-Uku is a town in Delta State, Nigeria, known as one of the traditional Igbo communities within the Aniocha region.
  • C. Uklana
    Uklana is a legislative assembly constituency in the Indian state of Haryana, represented within the Hisar Lok Sabha parliamentary seat.
  • D. Ukaan
    Ukaan is a little-documented Niger-Congo language spoken by a small community in southwestern Nigeria.
  • E. Ngundu
    Ngundu is a small settlement in southern Zimbabwe that serves as a roadside stop and trading center along major routes between Harare and Beitbridge.
  • 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_69d8dcfec90481909e926be9767e5779 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d3e6a8208190973669cae439a91e completed April 20, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a059124ad7481908fda2dfe1e0b54ed completed May 14, 2026, 9:08 a.m.
NEDg Description generation batch_6a05965ab9a081909e430d9bef63c820 completed May 14, 2026, 9:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0596c2ee4c8190b3b4db9afa4d1bed completed May 14, 2026, 9:32 a.m.
Created at: April 10, 2026, 11:59 a.m.