Triple

T19182341
Position Surface form Disambiguated ID Type / Status
Subject Magaruque Island E469605 entity
Predicate accessibleFrom P1985 FINISHED
Object Vilankulo 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: Vilankulo | Statement: [Magaruque Island, accessibleFrom, Vilankulo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vilankulo
Context triple: [Magaruque Island, accessibleFrom, Vilankulo]
  • A. Vilankulo chosen
    Vilankulo is a coastal town in southern Mozambique known as the main gateway to the nearby Bazaruto Archipelago and its popular beach and marine tourism.
  • B. Thilafushi
    Thilafushi is an artificial island in the Maldives primarily known for serving as a major landfill and waste management site near Malé.
  • C. Kasangulu
    Kasangulu is a town and transport hub in western Democratic Republic of the Congo, located near Kinshasa and known for its position along key road and rail routes.
  • D. Lewoleba
    Lewoleba is the main town and administrative center of Lembata Island in Indonesia’s East Nusa Tenggara province.
  • E. 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.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f61cab348190965e96ac0f701f9f completed April 20, 2026, 9:47 a.m.
Created at: April 10, 2026, 12:07 p.m.