Triple

T21665112
Position Surface form Disambiguated ID Type / Status
Subject Southern Malawi E534692 entity
Predicate hasUrbanCenter P2106 FINISHED
Object Mulanje NE NERFINISHED

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: Mulanje | Statement: [Southern Malawi, hasUrbanCenter, Mulanje]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mulanje
Context triple: [Southern Malawi, hasUrbanCenter, Mulanje]
  • A. Mulanje town chosen
    Mulanje town is a settlement in southern Malawi that serves as the main gateway and service center for visitors to the nearby Mount Mulanje massif.
  • B. Unawatuna
    Unawatuna is a popular coastal town in southern Sri Lanka known for its palm-fringed beach, coral-rich bay, and laid-back tourist atmosphere.
  • C. Ruwanwella
    Ruwanwella is a small town in Sri Lanka known for its historical fort and scenic surroundings, located within the Sabaragamuwa Province.
  • D. Murehwa
    Murehwa is a town and rural service center in northeastern Zimbabwe known for its agricultural activities and proximity to traditional Shona cultural sites.
  • E. Yatawatta
    Yatawatta is a small town in Sri Lanka’s Central Province, known for its rural setting and agricultural surroundings within the Matale region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef6c0b26c8819092c13e59dcc3c25c completed April 27, 2026, 2 p.m.
Created at: April 16, 2026, 6:36 p.m.