Triple

T5273959
Position Surface form Disambiguated ID Type / Status
Subject Rewa Province E119328 entity
Predicate country P26 FINISHED
Object Fiji E11899 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: Fiji | Statement: [Rewa Province, country, Fiji]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiji
Context triple: [Rewa Province, country, Fiji]
  • A. Fiji chosen
    Fiji is a South Pacific island nation known for its tropical climate, coral reefs, and popular beach and dive tourism.
  • B. Tonga
    Tonga is a Polynesian island nation in the South Pacific Ocean known for being a constitutional monarchy and the only Pacific island country never fully colonized by a foreign power.
  • C. Tonga
    The Tonga are an ethnic group of southern Africa, primarily found along the Zambezi River in Zambia and Zimbabwe, with distinct Bantu languages and cultural traditions.
  • D. Fiji archipelago
    The Fiji archipelago is a South Pacific island group and nation known for its volcanic islands, coral reefs, and role as a regional hub of Melanesian culture and tourism.
  • E. Solomon Islands
    The Solomon Islands is a sovereign nation in the southwestern Pacific Ocean, consisting of a scattered archipelago known for its tropical rainforests, coral reefs, and World War II historical sites.
  • 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_69bd446c38e081908cdaf113bdf86790 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7c22a29081908a022847e61af8a9 completed March 20, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf187a1cf881908b45bc32c03d33be completed March 21, 2026, 10:15 p.m.
Created at: March 20, 2026, 1:51 p.m.