Triple

T21815534
Position Surface form Disambiguated ID Type / Status
Subject Toabaita E538596 entity
Predicate hasAlternativeName P39 FINISHED
Object Malaita Toabaita 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: Malaita Toabaita | Statement: [Toabaita, hasAlternativeName, Malaita Toabaita]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malaita Toabaita
Context triple: [Toabaita, hasAlternativeName, Malaita Toabaita]
  • A. Malaita chosen
    Malaita is one of the main islands of the Solomon Islands in the South Pacific, known for its large population, rich traditional culture, and historical role in regional labor trade.
  • B. Tetautua
    Tetautua is a small village located on Penrhyn Atoll in the northern Cook Islands, known for its remote Polynesian island setting and traditional way of life.
  • C. Malaeimi
    Malaeimi is a village in American Samoa located on the island of Tutuila within Tualauta County.
  • D. Taloot
    Taloot is a coastal barangay of the municipality of Argao in Cebu, Philippines.
  • E. Tafi Mador
    Tafi Mador is a village where the Tafi language is traditionally spoken by the local community.
  • 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_69e0c473f0f8819086c9d1b4a143bd67 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07cc99bbc8190bf074930f361af7d completed April 28, 2026, 9:24 a.m.
Created at: April 16, 2026, 6:54 p.m.