Triple

T4034113
Position Surface form Disambiguated ID Type / Status
Subject Batticaloa Lagoon E83786 entity
Predicate near P350 FINISHED
Object Kattankudy
Kattankudy is a densely populated, predominantly Muslim coastal town in Sri Lanka’s Eastern Province, known for its vibrant trade, religious institutions, and proximity to Batticaloa.
 E432624 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: Kattankudy | Statement: [Batticaloa Lagoon, near, Kattankudy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kattankudy
Context triple: [Batticaloa Lagoon, near, Kattankudy]
  • 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. Hikkaduwa
    Hikkaduwa is a coastal town in southern Sri Lanka known for its beaches, coral reefs, and surf culture.
  • C. Mullaitivu
    Mullaitivu is a coastal town in northeastern Sri Lanka known for its strategic location and as a major site of conflict during the Sri Lankan Civil War.
  • D. Ambalangoda
    Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
  • E. 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.
  • 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: Kattankudy
Triple: [Batticaloa Lagoon, near, Kattankudy]
Generated description
Kattankudy is a densely populated, predominantly Muslim coastal town in Sri Lanka’s Eastern Province, known for its vibrant trade, religious institutions, and proximity to Batticaloa.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kattankudy
Target entity description: Kattankudy is a densely populated, predominantly Muslim coastal town in Sri Lanka’s Eastern Province, known for its vibrant trade, religious institutions, and proximity to Batticaloa.
  • 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. Hikkaduwa
    Hikkaduwa is a coastal town in southern Sri Lanka known for its beaches, coral reefs, and surf culture.
  • C. Mullaitivu
    Mullaitivu is a coastal town in northeastern Sri Lanka known for its strategic location and as a major site of conflict during the Sri Lankan Civil War.
  • D. Ambalangoda
    Ambalangoda is a coastal town in southwestern Sri Lanka known for its traditional mask carving and puppet arts.
  • E. 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.
  • 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_69aed92f7cf0819098e0539bdcc3767f completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefb11d92481909aaebbc250ff45b9 completed March 9, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5db6b01e48190a2e02597347f3348 completed March 14, 2026, 10:04 p.m.
NEDg Description generation batch_69b5dc578b08819095cbf6ba8470d3e0 completed March 14, 2026, 10:08 p.m.
NED2 Entity disambiguation (via description) batch_69b5dd1b03508190a47bb6fb93f22ad8 completed March 14, 2026, 10:11 p.m.
Created at: March 9, 2026, 3:36 p.m.