Triple

T553899
Position Surface form Disambiguated ID Type / Status
Subject Fiji E11899 entity
Predicate seatOfGovernment P761 FINISHED
Object Suva E21997 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: Suva | Statement: [Fiji, seatOfGovernment, Suva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Suva
Context triple: [Fiji, seatOfGovernment, Suva]
  • A. Suva, Fiji chosen
    Suva, Fiji is the capital and largest city of Fiji, serving as a major political, economic, and regional administrative hub in the South Pacific.
  • B. Apia
    Apia is the capital and largest city of Samoa, serving as its main political, economic, and cultural hub on the island of Upolu.
  • C. Honiara
    Honiara is the capital and largest city of the Solomon Islands, located on the island of Guadalcanal in the southwestern Pacific Ocean.
  • D. Tulagi
    Tulagi is a small island in the Solomon Islands that gained historical significance as a strategic battleground during World War II’s Guadalcanal campaign.
  • E. Wellington
    Wellington is the compact, hilly coastal city at the southern tip of New Zealand’s North Island known for its vibrant arts scene, windy climate, and role as the country’s political and cultural hub.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4991c524481908b2bb88c4feabec6 completed March 1, 2026, 7:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e9b92f1c8190bdcf5ae3a07edb3a completed March 2, 2026, 1:36 a.m.
Created at: March 1, 2026, 7:32 p.m.