Triple

T3025953
Position Surface form Disambiguated ID Type / Status
Subject Colombo–Matara railway line E82574 entity
Predicate passesThrough P225 FINISHED
Object Ambalangoda
Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
 E348318 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: Ambalangoda | Statement: [Colombo–Matara railway line, passesThrough, Ambalangoda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ambalangoda
Context triple: [Colombo–Matara railway line, passesThrough, Ambalangoda]
  • A. Koggala
    Koggala is a coastal town in southern Sri Lanka known for its scenic beach, lagoon, and proximity to the historic city of Galle.
  • 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. Aluthgama
    Aluthgama is a coastal town in southwestern Sri Lanka known for its beaches, tourism, and location along major road and rail routes.
  • D. Kalutara
    Kalutara is a major coastal town in western Sri Lanka, known for its historic Buddhist temple, scenic beaches, and role as a regional commercial hub.
  • E. Hikkaduwa
    Hikkaduwa is a coastal town in southern Sri Lanka known for its beaches, coral reefs, and surf culture.
  • 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: Ambalangoda
Triple: [Colombo–Matara railway line, passesThrough, Ambalangoda]
Generated description
Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ambalangoda
Target entity description: Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
  • A. Koggala
    Koggala is a coastal town in southern Sri Lanka known for its scenic beach, lagoon, and proximity to the historic city of Galle.
  • 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. Aluthgama
    Aluthgama is a coastal town in southwestern Sri Lanka known for its beaches, tourism, and location along major road and rail routes.
  • D. Kalutara
    Kalutara is a major coastal town in western Sri Lanka, known for its historic Buddhist temple, scenic beaches, and role as a regional commercial hub.
  • E. Hikkaduwa
    Hikkaduwa is a coastal town in southern Sri Lanka known for its beaches, coral reefs, and surf culture.
  • 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_69ad8b1fb34081908c1b873e2b7273e1 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9abc78b48190a5283e7407a78fe7 completed March 8, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a4b98288190b2f4f8360eaecfc6 completed March 12, 2026, 7:55 p.m.
NEDg Description generation batch_69b31c33fc3c8190b5af3f38206736de completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31c9f48788190bdf4b4ce47e1e5b5 completed March 12, 2026, 8:05 p.m.
Created at: March 8, 2026, 3 p.m.