Triple

T951290
Position Surface form Disambiguated ID Type / Status
Subject Nggela Islands E20527 entity
Predicate hasMajorIsland P756 FINISHED
Object Nggela Sule E4097 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: Nggela Sule | Statement: [Nggela Islands, hasMajorIsland, Nggela Sule]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nggela Sule
Context triple: [Nggela Islands, hasMajorIsland, Nggela Sule]
  • A. Nggela Sule chosen
    Nggela Sule is one of the principal islands in the Florida Islands group of the Solomon Islands in the South Pacific.
  • B. Nelly Malek
    Nelly Malek is best known as the mother of Academy Award–winning actor Rami Malek.
  • C. Solange Knowles
    Solange Knowles is an American singer, songwriter, and artist known for her genre-blending R&B music, critically acclaimed albums like "A Seat at the Table," and her distinctive visual and cultural artistry.
  • D. Latifa
    Latifa is a young, imaginative girl character who serves as one of the official mascots of Expo 2020 Dubai, symbolizing innovation, curiosity, and the spirit of the event.
  • E. Tanya Adeola
    Tanya Adeola is a companion character from the Doctor Who universe, known as a bright and resourceful student who appears in the spin-off series "Class."
  • 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_69a493b0f2fc81908cd227480a5356a1 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3d62e408190855b2883407f6c6b completed March 1, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69a933ab88b481908298cb855f46540e completed March 5, 2026, 7:41 a.m.
Created at: March 1, 2026, 7:40 p.m.