Triple

T4034200
Position Surface form Disambiguated ID Type / Status
Subject King of Kandy E83787 entity
Predicate territoryIncludes P285 FINISHED
Object Uva
Uva is a historical region in Sri Lanka that formed part of the Kandyan Kingdom and is known for its mountainous terrain and tea-growing highlands.
 E409300 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: Uva | Statement: [King of Kandy, territoryIncludes, Uva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Uva
Context triple: [King of Kandy, territoryIncludes, Uva]
  • A. Macua
    Macua is an alternative name for Makhuwa, a major Bantu ethnic group and language community primarily found in northern Mozambique.
  • B. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • C. Umag
    Umag is a coastal town in northwestern Croatia known for its tourism, historic old town, and annual ATP tennis tournament.
  • D. Samaná
    Samaná is a municipality and town located in the Caldas Department of central Colombia, known for its mountainous landscapes and coffee-growing traditions.
  • E. Caimito
    Caimito is a municipality in western Cuba known for its agricultural activities and proximity to Havana.
  • 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: Uva
Triple: [King of Kandy, territoryIncludes, Uva]
Generated description
Uva is a historical region in Sri Lanka that formed part of the Kandyan Kingdom and is known for its mountainous terrain and tea-growing highlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Uva
Target entity description: Uva is a historical region in Sri Lanka that formed part of the Kandyan Kingdom and is known for its mountainous terrain and tea-growing highlands.
  • A. Macua
    Macua is an alternative name for Makhuwa, a major Bantu ethnic group and language community primarily found in northern Mozambique.
  • B. Naranjal
    Naranjal is a town and canton in southwestern Ecuador known for its agricultural production and location within Guayas Province.
  • C. Umag
    Umag is a coastal town in northwestern Croatia known for its tourism, historic old town, and annual ATP tennis tournament.
  • D. Samaná
    Samaná is a municipality and town located in the Caldas Department of central Colombia, known for its mountainous landscapes and coffee-growing traditions.
  • E. Caimito
    Caimito is a municipality in western Cuba known for its agricultural activities and proximity to Havana.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb11d92481909aaebbc250ff45b9 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5563e11708190abc9ba55b1be43a5 completed March 14, 2026, 12:36 p.m.
NEDg Description generation batch_69b55a291d8c8190976e764011692ba0 completed March 14, 2026, 12:52 p.m.
NED2 Entity disambiguation (via description) batch_69b55a9ec7e88190bc5d165fd666f4b3 completed March 14, 2026, 12:54 p.m.
Created at: March 9, 2026, 3:36 p.m.