Triple

T18986610
Position Surface form Disambiguated ID Type / Status
Subject ඌව පළාත E464573 entity
Predicate containsTown P847 FINISHED
Object Passara
Passara is a small town in Sri Lanka’s Uva Province, known for its scenic hill-country landscapes and surrounding tea plantations.
 E1352474 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: Passara | Statement: [ඌව පළාත, containsTown, Passara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Passara
Context triple: [ඌව පළාත, containsTown, Passara]
  • A. Carduel
    Carduel is a legendary royal city in Arthurian romance literature, often depicted as one of the principal seats of King Arthur’s court.
  • B. Pangallo
    Pangallo is an Italian-origin surname borne by individuals such as American politician Dominick Pangallo.
  • C. Gallicano
    Gallicano is a small Italian town and comune in Tuscany, known for its location in the Serchio Valley within the Province of Lucca.
  • D. Carinyena
    Carinyena, also known as Carignan, is a dark-skinned wine grape variety valued for producing deeply colored, high-acid red wines often used in blends across Mediterranean wine regions.
  • E. La Pie
    La Pie is a residential neighborhood within the Paris suburb of Saint-Maur-des-Fossés, known for its quiet streets and local community atmosphere.
  • 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: Passara
Triple: [ඌව පළාත, containsTown, Passara]
Generated description
Passara is a small town in Sri Lanka’s Uva Province, known for its scenic hill-country landscapes and surrounding tea plantations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Passara
Target entity description: Passara is a small town in Sri Lanka’s Uva Province, known for its scenic hill-country landscapes and surrounding tea plantations.
  • A. Carduel
    Carduel is a legendary royal city in Arthurian romance literature, often depicted as one of the principal seats of King Arthur’s court.
  • B. Pangallo
    Pangallo is an Italian-origin surname borne by individuals such as American politician Dominick Pangallo.
  • C. Gallicano
    Gallicano is a small Italian town and comune in Tuscany, known for its location in the Serchio Valley within the Province of Lucca.
  • D. Carinyena
    Carinyena, also known as Carignan, is a dark-skinned wine grape variety valued for producing deeply colored, high-acid red wines often used in blends across Mediterranean wine regions.
  • E. La Pie
    La Pie is a residential neighborhood within the Paris suburb of Saint-Maur-des-Fossés, known for its quiet streets and local community atmosphere.
  • 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.