Triple

T18986608
Position Surface form Disambiguated ID Type / Status
Subject ඌව පළාත E464573 entity
Predicate containsTown P847 FINISHED
Object Mahiyanganaya
Mahiyanganaya is a historic town in Sri Lanka known for its Buddhist heritage and scenic location in the Uva Province.
 E1352473 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: Mahiyanganaya | Statement: [ඌව පළාත, containsTown, Mahiyanganaya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mahiyanganaya
Context triple: [ඌව පළාත, containsTown, Mahiyanganaya]
  • A. Mahinog
    Mahinog is a coastal municipality on Camiguin Island in the Philippines known for its rural communities and access to nearby islets and marine attractions.
  • B. Manhay
    Manhay is a rural municipality in the Ardennes region of Wallonia, Belgium, known for its forests, farmland, and small villages.
  • C. Mangilao
    Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
  • D. Malango
    Malango is an Oceanic language spoken in the Solomon Islands, closely related to and geographically adjacent to the Ghari language.
  • E. Mangaya
    Mangaya is an exonym referring to the Mandaya, an indigenous ethnic group of Mindanao in the southern Philippines known for their rich weaving traditions and upland farming.
  • 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: Mahiyanganaya
Triple: [ඌව පළාත, containsTown, Mahiyanganaya]
Generated description
Mahiyanganaya is a historic town in Sri Lanka known for its Buddhist heritage and scenic location in the Uva Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mahiyanganaya
Target entity description: Mahiyanganaya is a historic town in Sri Lanka known for its Buddhist heritage and scenic location in the Uva Province.
  • A. Mahinog
    Mahinog is a coastal municipality on Camiguin Island in the Philippines known for its rural communities and access to nearby islets and marine attractions.
  • B. Manhay
    Manhay is a rural municipality in the Ardennes region of Wallonia, Belgium, known for its forests, farmland, and small villages.
  • C. Mangilao
    Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
  • D. Malango
    Malango is an Oceanic language spoken in the Solomon Islands, closely related to and geographically adjacent to the Ghari language.
  • E. Mangaya
    Mangaya is an exonym referring to the Mandaya, an indigenous ethnic group of Mindanao in the southern Philippines known for their rich weaving traditions and upland farming.
  • 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_69d8dd008af48190a97ff1c6488edf1b completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d660835c8190bedd78590b3e0a7e completed April 20, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05ad4717f48190a950ac569b8bcf12 completed May 14, 2026, 11:08 a.m.
NEDg Description generation batch_6a05aedf05c4819096ac6a61ada4b310 completed May 14, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_6a05afe523208190a97142cd8e3b887b completed May 14, 2026, 11:20 a.m.
Created at: April 10, 2026, 12:01 p.m.