Triple

T12981956
Position Surface form Disambiguated ID Type / Status
Subject Matara District E321672 entity
Predicate hasTown P847 FINISHED
Object Akuressa
Akuressa is a small town in Sri Lanka’s Southern Province, known as a local commercial and transport hub within the Matara District.
E1013905 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: Akuressa | Statement: [Matara District, hasTown, Akuressa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Akuressa
Context triple: [Matara District, hasTown, Akuressa]
  • A. Ojakkala
    Ojakkala is a village in the municipality of Vihti in southern Finland, known for its rural residential character and proximity to the Helsinki metropolitan area.
  • B. Ikaalinen
    Ikaalinen is a small town and municipality in the Pirkanmaa region of western Finland, known for its spa traditions and lakeside scenery.
  • C. Laukaa
    Laukaa is a municipality in Central Finland known for its lakes, rural landscapes, and proximity to the city of Jyväskylä.
  • D. Ylläs
    Ylläs is a popular ski resort and outdoor recreation area in Finnish Lapland, known for its extensive slopes, cross-country trails, and Northern Lights views.
  • E. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • 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: Akuressa
Triple: [Matara District, hasTown, Akuressa]
Generated description
Akuressa is a small town in Sri Lanka’s Southern Province, known as a local commercial and transport hub within the Matara District.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Akuressa
Target entity description: Akuressa is a small town in Sri Lanka’s Southern Province, known as a local commercial and transport hub within the Matara District.
  • A. Ojakkala
    Ojakkala is a village in the municipality of Vihti in southern Finland, known for its rural residential character and proximity to the Helsinki metropolitan area.
  • B. Ikaalinen
    Ikaalinen is a small town and municipality in the Pirkanmaa region of western Finland, known for its spa traditions and lakeside scenery.
  • C. Laukaa
    Laukaa is a municipality in Central Finland known for its lakes, rural landscapes, and proximity to the city of Jyväskylä.
  • D. Ylläs
    Ylläs is a popular ski resort and outdoor recreation area in Finnish Lapland, known for its extensive slopes, cross-country trails, and Northern Lights views.
  • E. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5ca33481909a6cb06c636889f9 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f200c88190a2aab15373cbedf5 completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6ba0904e8819098bae29961bf0046 completed May 3, 2026, 2:59 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb7a0ae08190813411fa677430aa completed May 3, 2026, 3:05 a.m.
Created at: April 9, 2026, 8:39 p.m.