Triple

T16199994
Position Surface form Disambiguated ID Type / Status
Subject Northern Gilbert Islands E393171 entity
Predicate hasPart P35 FINISHED
Object Aranuka E354260 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: Aranuka | Statement: [Northern Gilbert Islands, hasPart, Aranuka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aranuka
Context triple: [Northern Gilbert Islands, hasPart, Aranuka]
  • A. Aranuka chosen
    Aranuka is a low-lying coral atoll in the central Pacific Ocean that forms part of the island nation of Kiribati.
  • B. Fundão Island
    Fundão Island is an artificial island in Rio de Janeiro, Brazil, best known as the main campus site of the Federal University of Rio de Janeiro within Guanabara Bay.
  • C. Los Negros Island
    Los Negros Island is a small island in Papua New Guinea’s Admiralty Islands group, known for its World War II military airbase and strategic role in the Pacific campaign.
  • D. Tarrafal
    Tarrafal is a coastal town on the northern part of Santiago Island in Cape Verde, known for its beaches and nearby former prison camp turned memorial.
  • E. Saba
    Saba is a small Caribbean island that was once a Dutch West India Company colony and is now a special municipality of the Netherlands known for its rugged volcanic terrain and marine biodiversity.
  • 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_69d87f1f5bd08190bd01cac0d5b9d2ef completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e22709b0d88190b40787e0520d02ab completed April 17, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffff1107908190afda091b53317d81 completed May 10, 2026, 3:44 a.m.
Created at: April 10, 2026, 5:03 a.m.