Triple

T4820216
Position Surface form Disambiguated ID Type / Status
Subject Sabaragamuwa Province E107692 entity
Predicate hasCity P316 FINISHED
Object Kegalle
Kegalle is a major town in central Sri Lanka known for its rubber plantations and proximity to the Pinnawala Elephant Orphanage.
E496390 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: Kegalle | Statement: [Sabaragamuwa Province, hasCity, Kegalle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kegalle
Context triple: [Sabaragamuwa Province, hasCity, Kegalle]
  • A. Dambulla
    Dambulla is a historic town in Sri Lanka best known for its UNESCO-listed cave temple complex featuring ancient Buddhist murals and statues.
  • B. Badulla
    Badulla is a major town in Sri Lanka’s central highlands, known as the capital of Uva Province and a regional hub surrounded by tea plantations and scenic mountain landscapes.
  • C. Gampola
    Gampola is a historic town in Sri Lanka known for its former status as a medieval capital and its scenic hill-country setting.
  • D. Ambalangoda
    Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
  • E. Maharagama
    Maharagama is a suburban city in the Colombo District of Sri Lanka, known as a densely populated residential and commercial hub within the Colombo metropolitan area.
  • 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: Kegalle
Triple: [Sabaragamuwa Province, hasCity, Kegalle]
Generated description
Kegalle is a major town in central Sri Lanka known for its rubber plantations and proximity to the Pinnawala Elephant Orphanage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kegalle
Target entity description: Kegalle is a major town in central Sri Lanka known for its rubber plantations and proximity to the Pinnawala Elephant Orphanage.
  • A. Dambulla
    Dambulla is a historic town in Sri Lanka best known for its UNESCO-listed cave temple complex featuring ancient Buddhist murals and statues.
  • B. Badulla
    Badulla is a major town in Sri Lanka’s central highlands, known as the capital of Uva Province and a regional hub surrounded by tea plantations and scenic mountain landscapes.
  • C. Gampola
    Gampola is a historic town in Sri Lanka known for its former status as a medieval capital and its scenic hill-country setting.
  • D. Ambalangoda
    Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
  • E. Maharagama
    Maharagama is a suburban city in the Colombo District of Sri Lanka, known as a densely populated residential and commercial hub within the Colombo metropolitan area.
  • 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c98358081908ed43425af667a98 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69bec342e4788190ad9bb12e54b6a4ed completed March 21, 2026, 4:11 p.m.
NEDg Description generation batch_69bec505a5dc81908f79c1ade107c4ce completed March 21, 2026, 4:19 p.m.
NED2 Entity disambiguation (via description) batch_69bec654fc4881909bf5458cdafc7ffd completed March 21, 2026, 4:24 p.m.
Created at: March 20, 2026, 1:24 p.m.