Triple

T15935340
Position Surface form Disambiguated ID Type / Status
Subject Mannar region E386427 entity
Predicate contains P35 FINISHED
Object Mannar District E406383 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: Mannar District | Statement: [Mannar region, contains, Mannar District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mannar District
Context triple: [Mannar region, contains, Mannar District]
  • A. Mannar District chosen
    Mannar District is an administrative region in northwestern Sri Lanka known for its historic Mannar Island, shallow lagoons, and rich biodiversity, including migratory birds.
  • B. Sagaing District
    Sagaing District is an administrative district in Myanmar’s Sagaing Region, centered on the historic city of Sagaing along the Irrawaddy River.
  • C. Unna district
    Unna district is a Landkreis in the German state of North Rhine-Westphalia, located in the eastern Ruhr area and known for its mix of industrial towns and suburban communities.
  • D. Meiktila District
    Meiktila District is an administrative district in Myanmar’s Mandalay Region, centered around the town of Meiktila and known for its strategic location and surrounding agricultural areas.
  • E. Bago District
    Bago District is an administrative district in central Myanmar that includes the city of Bago and surrounding areas within the Bago Region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156a8bbf48190ad10011e7eb0c6a9 completed April 16, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5b514108190965e77346d8b476e completed May 9, 2026, 10:31 p.m.
Created at: April 10, 2026, 4:53 a.m.