Triple

T25592204
Position Surface form Disambiguated ID Type / Status
Subject Hambantota District E641551 entity
Predicate hasLake P1025 FINISHED
Object Bundala Lagoon
Bundala Lagoon is a coastal wetland lagoon in southern Sri Lanka, renowned for its rich birdlife and inclusion within the Bundala National Park, a UNESCO-designated biosphere reserve.
E1685881 NE FINISHED

How this triple was built (2 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: Bundala Lagoon | Statement: [Hambantota District, hasLake, Bundala Lagoon]
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: Bundala Lagoon
Triple: [Hambantota District, hasLake, Bundala Lagoon]
Generated description
Bundala Lagoon is a coastal wetland lagoon in southern Sri Lanka, renowned for its rich birdlife and inclusion within the Bundala National Park, a UNESCO-designated biosphere reserve.

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_69e75dc60d108190b7e2419e36b0134b completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f96dd7dc8190a2d174239821d8bd completed May 2, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_6a10b76c54c08190b2b29976cd6bb56d completed May 22, 2026, 8:07 p.m.
NEDg Description generation batch_6a10b7fa6d60819097ff930865af4032 completed May 22, 2026, 8:09 p.m.
NED2 Entity disambiguation (via description) batch_6a10b94f8d808190b348d3207b85ab88 completed May 22, 2026, 8:15 p.m.
Created at: April 21, 2026, 4:25 p.m.