Triple

T16582944
Position Surface form Disambiguated ID Type / Status
Subject Galle District E402880 entity
Predicate contains P35 FINISHED
Object Baddegama
Baddegama is a town in Sri Lanka’s Southern Province known for its agricultural surroundings and location within the Galle District.
E1225781 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: Baddegama | Statement: [Galle District, contains, Baddegama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baddegama
Context triple: [Galle District, contains, Baddegama]
  • 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. Kegalle
    Kegalle is a major town in central Sri Lanka known for its rubber plantations and proximity to the Pinnawala Elephant Orphanage.
  • 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. Pallamallawa
    Pallamallawa is a small rural village in northern New South Wales, Australia, known for its agricultural surroundings and close-knit community.
  • E. Ambalangoda
    Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
  • 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: Baddegama
Triple: [Galle District, contains, Baddegama]
Generated description
Baddegama is a town in Sri Lanka’s Southern Province known for its agricultural surroundings and location within the Galle District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baddegama
Target entity description: Baddegama is a town in Sri Lanka’s Southern Province known for its agricultural surroundings and location within the Galle District.
  • 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. Kegalle
    Kegalle is a major town in central Sri Lanka known for its rubber plantations and proximity to the Pinnawala Elephant Orphanage.
  • 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. Pallamallawa
    Pallamallawa is a small rural village in northern New South Wales, Australia, known for its agricultural surroundings and close-knit community.
  • E. Ambalangoda
    Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
  • 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_69d88387363c8190a97a0c942130de97 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35999088c8190900497f18728bd0b completed April 18, 2026, 10:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0084b077f481909796b5b60f501239 completed May 10, 2026, 1:14 p.m.
NEDg Description generation batch_6a008558218c8190b0e72356ae52afd2 completed May 10, 2026, 1:17 p.m.
NED2 Entity disambiguation (via description) batch_6a008624706881909e9a265a37eeb3fc completed May 10, 2026, 1:20 p.m.
Created at: April 10, 2026, 5:16 a.m.